EHRSHOT Leaderboard On this page Leaerboard of model performance on the EHRSHOT benchmark using the original dataset from the EHRSHOT paper.
Benchmark:
Metrics: AUROC, AUPRCNumber of Tasks: 15Models:
Logistic Regression: A logistic regression trained on the count featurization described in the EHRSHOT paper Random Forest: A random forest trained on the count featurization described in the EHRSHOT paper GBM: A gradient boosted machine trained on the count featurization described in the EHRSHOT paper CLMBR-t-base: The foundation model released in the EHRSHOT paper with frozen weights and a task-specific logistic regression head. Available for download here MOTOR-t-base: The foundation model released in the MOTOR paper with frozen weights and a task-specific logistic regression head. Available for download here . Note that this requires a fork of the EHRSHOT codebase as it was not part of the original EHRSHOT paper.Results# In the tables below, k is the number of few-shot examples used to train each model. For the All column, bootstrapped 95% CI’s on the test set are shown.
By Task Group# Results averaged across all subtasks in a task group.
AUROC# Operational Outcomes Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.824 (0.803 - 0.845) 0.555 0.59 0.628 0.659 0.688 0.713 0.724 0.739 0.758 0.768 0.789 GBM 0.774 (0.752 - 0.797) 0.513 0.52 0.535 0.59 0.575 0.588 0.625 0.656 0.678 0.693 0.736 Logistic Regression 0.719 (0.692 - 0.746) 0.525 0.541 0.591 0.611 0.613 0.631 0.645 0.656 0.667 0.68 0.702 Random Forest 0.741 (0.714 - 0.768) 0.525 0.511 0.558 0.581 0.59 0.61 0.628 0.658 0.672 0.689 0.745 MOTOR 0.836 (0.817 - 0.856)
Anticipating Lab Test Results Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.832 (0.824 - 0.840) 0.546 0.583 0.612 0.639 0.645 0.663 0.673 0.692 0.711 0.723 0.753 GBM 0.728 (0.716 - 0.741) 0.504 0.511 0.517 0.552 0.553 0.554 0.577 0.592 0.61 0.617 0.64 Logistic Regression 0.669 (0.653 - 0.685) 0.504 0.526 0.546 0.561 0.56 0.569 0.567 0.582 0.589 0.595 0.606 Random Forest 0.704 (0.691 - 0.717) 0.499 0.514 0.542 0.564 0.566 0.575 0.584 0.591 0.609 0.615 0.637 MOTOR 0.788 (0.778 - 0.797)
Assignment of New Diagnoses Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.707 (0.667 - 0.746) 0.534 0.554 0.593 0.616 0.624 0.64 0.649 0.656 0.666 0.676 0.693 GBM 0.719 (0.669 - 0.768) 0.487 0.521 0.537 0.571 0.588 0.586 0.622 0.618 0.652 0.691 0.723 Logistic Regression 0.749 (0.711 - 0.787) 0.543 0.556 0.566 0.599 0.604 0.631 0.644 0.66 0.685 0.703 0.722 Random Forest 0.701 (0.652 - 0.749) 0.503 0.54 0.549 0.569 0.585 0.595 0.627 0.638 0.665 0.674 0.673 MOTOR 0.756 (0.712 - 0.800)
Chest X-ray Findings Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.752 (0.726 - 0.778) 0.525 0.55 0.571 0.596 0.614 0.622 0.633 0.641 0.657 0.665 0.679 GBM 0.682 (0.649 - 0.715) 0.508 0.509 0.504 0.542 0.556 0.553 0.573 0.591 0.602 0.61 0.632 Logistic Regression 0.650 (0.618 - 0.682) 0.522 0.533 0.536 0.542 0.557 0.565 0.581 0.588 0.6 0.606 0.618 Random Forest 0.693 (0.662 - 0.724) 0.506 0.514 0.524 0.547 0.554 0.562 0.571 0.586 0.602 0.613 0.637
AUPRC# Operational Outcomes Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.437 (0.391 - 0.484) 0.17 0.192 0.223 0.231 0.251 0.272 0.29 0.303 0.329 0.339 0.359 GBM 0.359 (0.319 - 0.399) 0.14 0.144 0.149 0.183 0.175 0.182 0.2 0.215 0.23 0.251 0.28 Logistic Regression 0.246 (0.214 - 0.277) 0.148 0.155 0.176 0.184 0.185 0.189 0.196 0.2 0.211 0.212 0.23 Random Forest 0.304 (0.267 - 0.341) 0.15 0.146 0.161 0.176 0.184 0.205 0.206 0.222 0.234 0.246 0.294 MOTOR 0.490 (0.441 - 0.539)
Anticipating Lab Test Results Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.516 (0.500 - 0.532) 0.297 0.318 0.338 0.353 0.355 0.366 0.375 0.39 0.401 0.413 0.434 GBM 0.435 (0.418 - 0.452) 0.271 0.273 0.28 0.307 0.311 0.314 0.321 0.327 0.344 0.352 0.369 Logistic Regression 0.383 (0.367 - 0.400) 0.273 0.289 0.3 0.311 0.314 0.318 0.311 0.313 0.32 0.324 0.332 Random Forest 0.418 (0.404 - 0.432) 0.273 0.278 0.294 0.312 0.31 0.318 0.321 0.328 0.346 0.353 0.366 MOTOR 0.492 (0.480 - 0.505)
Assignment of New Diagnoses Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.160 (0.128 - 0.192) 0.076 0.086 0.097 0.1 0.104 0.114 0.118 0.125 0.121 0.128 0.138 GBM 0.212 (0.160 - 0.264) 0.061 0.063 0.071 0.086 0.087 0.086 0.098 0.11 0.128 0.141 0.156 Logistic Regression 0.179 (0.107 - 0.251) 0.075 0.079 0.083 0.082 0.086 0.092 0.099 0.103 0.113 0.121 0.131 Random Forest 0.195 (0.151 - 0.238) 0.067 0.074 0.076 0.084 0.084 0.092 0.102 0.106 0.119 0.131 0.137 MOTOR 0.193 (0.154 - 0.231)
Chest X-ray Findings Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.209 (0.197 - 0.221) 0.116 0.124 0.131 0.14 0.149 0.154 0.158 0.162 0.173 0.178 0.179 GBM 0.172 (0.160 - 0.184) 0.103 0.103 0.105 0.112 0.12 0.118 0.125 0.13 0.138 0.142 0.151 Logistic Regression 0.158 (0.147 - 0.170) 0.106 0.108 0.112 0.113 0.117 0.118 0.121 0.124 0.13 0.133 0.14 Random Forest 0.162 (0.150 - 0.173) 0.104 0.105 0.108 0.114 0.117 0.118 0.121 0.129 0.134 0.142 0.15
Individual# Results for each individual task. Mean scores across 5 replicates are shown with standard deviations.
AUROC# Operational Outcomes# ICU Admission Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.848 ± 0.0 0.597 ± 0.109 0.598 ± 0.069 0.601 ± 0.082 0.701 ± 0.072 0.742 ± 0.039 0.763 ± 0.041 0.763 ± 0.04 0.786 ± 0.041 0.792 ± 0.015 0.796 ± 0.014 0.827 ± 0.007 GBM 0.799 ± 0.0 0.534 ± 0.051 0.523 ± 0.072 0.545 ± 0.057 0.586 ± 0.047 0.565 ± 0.031 0.585 ± 0.058 0.626 ± 0.061 0.676 ± 0.052 0.706 ± 0.033 0.709 ± 0.056 0.774 ± 0.015 Logistic Regression 0.701 ± 0.0 0.543 ± 0.053 0.555 ± 0.07 0.577 ± 0.067 0.603 ± 0.054 0.638 ± 0.048 0.649 ± 0.063 0.667 ± 0.054 0.685 ± 0.04 0.667 ± 0.042 0.682 ± 0.025 0.697 ± 0.016 Random Forest 0.721 ± 0.0 0.524 ± 0.035 0.521 ± 0.043 0.565 ± 0.056 0.577 ± 0.064 0.573 ± 0.088 0.563 ± 0.071 0.628 ± 0.079 0.677 ± 0.073 0.676 ± 0.059 0.674 ± 0.072 0.764 ± 0.02
Long LOS Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.814 ± 0.0 0.537 ± 0.077 0.56 ± 0.062 0.563 ± 0.043 0.571 ± 0.039 0.607 ± 0.027 0.618 ± 0.043 0.632 ± 0.037 0.655 ± 0.025 0.694 ± 0.027 0.716 ± 0.014 0.751 ± 0.013 GBM 0.783 ± 0.0 0.506 ± 0.043 0.498 ± 0.046 0.516 ± 0.054 0.562 ± 0.032 0.56 ± 0.041 0.557 ± 0.016 0.568 ± 0.041 0.603 ± 0.016 0.633 ± 0.051 0.664 ± 0.04 0.692 ± 0.029 Logistic Regression 0.704 ± 0.0 0.474 ± 0.041 0.507 ± 0.035 0.538 ± 0.042 0.557 ± 0.037 0.56 ± 0.02 0.579 ± 0.016 0.591 ± 0.034 0.597 ± 0.019 0.637 ± 0.006 0.645 ± 0.022 0.677 ± 0.008 Random Forest 0.758 ± 0.0 0.492 ± 0.033 0.49 ± 0.067 0.537 ± 0.076 0.547 ± 0.042 0.574 ± 0.027 0.594 ± 0.029 0.574 ± 0.051 0.615 ± 0.025 0.633 ± 0.042 0.681 ± 0.022 0.72 ± 0.016
30-day Readmission Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.81 ± 0.0 0.532 ± 0.09 0.611 ± 0.099 0.719 ± 0.028 0.704 ± 0.027 0.715 ± 0.083 0.757 ± 0.012 0.777 ± 0.013 0.777 ± 0.018 0.789 ± 0.004 0.791 ± 0.004 0.791 ± 0.003 GBM 0.741 ± 0.0 0.498 ± 0.022 0.54 ± 0.052 0.544 ± 0.05 0.621 ± 0.056 0.599 ± 0.068 0.621 ± 0.041 0.68 ± 0.023 0.688 ± 0.033 0.696 ± 0.018 0.706 ± 0.026 0.742 ± 0.013 Logistic Regression 0.751 ± 0.0 0.557 ± 0.113 0.561 ± 0.108 0.657 ± 0.029 0.672 ± 0.04 0.641 ± 0.032 0.666 ± 0.047 0.676 ± 0.043 0.685 ± 0.032 0.697 ± 0.013 0.713 ± 0.013 0.732 ± 0.013 Random Forest 0.775 ± 0.0 0.559 ± 0.06 0.524 ± 0.083 0.573 ± 0.09 0.617 ± 0.045 0.622 ± 0.057 0.672 ± 0.027 0.683 ± 0.036 0.682 ± 0.026 0.706 ± 0.024 0.713 ± 0.027 0.75 ± 0.011
Anticipating Lab Test Results# Anemia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.962 ± 0.0 0.645 ± 0.091 0.711 ± 0.098 0.763 ± 0.104 0.838 ± 0.029 0.853 ± 0.036 0.877 ± 0.028 0.895 ± 0.017 0.905 ± 0.013 0.914 ± 0.013 0.925 ± 0.005 0.94 ± 0.003 GBM 0.814 ± 0.0 0.486 ± 0.028 0.524 ± 0.051 0.552 ± 0.01 0.613 ± 0.041 0.629 ± 0.036 0.625 ± 0.075 0.644 ± 0.046 0.666 ± 0.027 0.703 ± 0.016 0.709 ± 0.006 0.731 ± 0.006 Logistic Regression 0.739 ± 0.0 0.48 ± 0.134 0.515 ± 0.112 0.588 ± 0.026 0.619 ± 0.016 0.619 ± 0.036 0.633 ± 0.025 0.628 ± 0.02 0.638 ± 0.034 0.643 ± 0.023 0.652 ± 0.014 0.667 ± 0.013 Random Forest 0.799 ± 0.0 0.493 ± 0.084 0.503 ± 0.112 0.612 ± 0.01 0.637 ± 0.019 0.651 ± 0.039 0.661 ± 0.032 0.657 ± 0.017 0.674 ± 0.029 0.69 ± 0.021 0.707 ± 0.008 0.737 ± 0.015
Hyponatremia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.76 ± 0.0 0.517 ± 0.03 0.528 ± 0.036 0.547 ± 0.033 0.552 ± 0.028 0.555 ± 0.03 0.554 ± 0.033 0.568 ± 0.032 0.585 ± 0.026 0.59 ± 0.033 0.603 ± 0.033 0.639 ± 0.018 GBM 0.659 ± 0.0 0.5 ± 0.0 0.497 ± 0.006 0.515 ± 0.01 0.513 ± 0.023 0.522 ± 0.024 0.515 ± 0.025 0.522 ± 0.012 0.531 ± 0.025 0.533 ± 0.025 0.528 ± 0.031 0.561 ± 0.027 Logistic Regression 0.612 ± 0.0 0.502 ± 0.012 0.501 ± 0.028 0.509 ± 0.021 0.511 ± 0.019 0.528 ± 0.014 0.525 ± 0.015 0.514 ± 0.018 0.527 ± 0.024 0.51 ± 0.023 0.513 ± 0.021 0.521 ± 0.037 Random Forest 0.631 ± 0.0 0.516 ± 0.011 0.501 ± 0.015 0.515 ± 0.016 0.513 ± 0.018 0.527 ± 0.022 0.522 ± 0.019 0.524 ± 0.017 0.526 ± 0.027 0.535 ± 0.028 0.53 ± 0.033 0.551 ± 0.025
Thrombocytopenia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.852 ± 0.0 0.53 ± 0.096 0.59 ± 0.061 0.628 ± 0.039 0.647 ± 0.039 0.651 ± 0.036 0.672 ± 0.027 0.682 ± 0.025 0.706 ± 0.029 0.737 ± 0.027 0.757 ± 0.022 0.777 ± 0.012 GBM 0.815 ± 0.0 0.511 ± 0.011 0.502 ± 0.028 0.513 ± 0.033 0.598 ± 0.03 0.59 ± 0.036 0.613 ± 0.06 0.62 ± 0.037 0.642 ± 0.029 0.675 ± 0.016 0.706 ± 0.013 0.724 ± 0.008 Logistic Regression 0.753 ± 0.0 0.53 ± 0.066 0.585 ± 0.065 0.6 ± 0.029 0.631 ± 0.024 0.635 ± 0.02 0.641 ± 0.034 0.61 ± 0.042 0.617 ± 0.025 0.657 ± 0.023 0.661 ± 0.019 0.683 ± 0.006 Random Forest 0.811 ± 0.0 0.512 ± 0.028 0.54 ± 0.054 0.562 ± 0.042 0.629 ± 0.027 0.598 ± 0.041 0.624 ± 0.034 0.641 ± 0.018 0.651 ± 0.014 0.696 ± 0.011 0.705 ± 0.011 0.719 ± 0.01
Hyperkalemia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.792 ± 0.0 0.534 ± 0.06 0.559 ± 0.055 0.579 ± 0.044 0.616 ± 0.041 0.621 ± 0.011 0.634 ± 0.019 0.631 ± 0.028 0.659 ± 0.039 0.681 ± 0.038 0.693 ± 0.037 0.718 ± 0.021 GBM 0.727 ± 0.0 0.504 ± 0.021 0.507 ± 0.027 0.497 ± 0.038 0.533 ± 0.03 0.516 ± 0.042 0.524 ± 0.039 0.574 ± 0.035 0.588 ± 0.035 0.6 ± 0.029 0.598 ± 0.033 0.629 ± 0.039 Logistic Regression 0.658 ± 0.0 0.501 ± 0.027 0.504 ± 0.028 0.508 ± 0.045 0.531 ± 0.039 0.513 ± 0.044 0.517 ± 0.037 0.541 ± 0.04 0.577 ± 0.026 0.591 ± 0.034 0.602 ± 0.016 0.605 ± 0.018 Random Forest 0.66 ± 0.0 0.47 ± 0.05 0.529 ± 0.026 0.508 ± 0.048 0.546 ± 0.032 0.559 ± 0.033 0.563 ± 0.042 0.567 ± 0.018 0.573 ± 0.029 0.582 ± 0.035 0.602 ± 0.026 0.63 ± 0.017
Hypoglycemia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.794 ± 0.0 0.506 ± 0.023 0.527 ± 0.037 0.542 ± 0.05 0.541 ± 0.046 0.548 ± 0.049 0.578 ± 0.031 0.589 ± 0.029 0.604 ± 0.023 0.636 ± 0.026 0.637 ± 0.025 0.693 ± 0.02 GBM 0.627 ± 0.0 0.52 ± 0.034 0.523 ± 0.031 0.508 ± 0.028 0.504 ± 0.028 0.509 ± 0.017 0.494 ± 0.029 0.526 ± 0.023 0.533 ± 0.032 0.541 ± 0.028 0.543 ± 0.022 0.557 ± 0.024 Logistic Regression 0.582 ± 0.0 0.507 ± 0.017 0.524 ± 0.018 0.524 ± 0.033 0.515 ± 0.048 0.505 ± 0.049 0.528 ± 0.043 0.542 ± 0.03 0.549 ± 0.038 0.544 ± 0.03 0.545 ± 0.025 0.556 ± 0.007 Random Forest 0.606 ± 0.0 0.503 ± 0.02 0.496 ± 0.016 0.51 ± 0.033 0.497 ± 0.031 0.497 ± 0.026 0.505 ± 0.04 0.533 ± 0.024 0.529 ± 0.035 0.541 ± 0.031 0.533 ± 0.025 0.547 ± 0.018
Assignment of New Diagnoses# Acute MI Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.729 ± 0.0 0.551 ± 0.056 0.54 ± 0.109 0.62 ± 0.045 0.574 ± 0.066 0.566 ± 0.099 0.59 ± 0.106 0.653 ± 0.035 0.688 ± 0.028 0.672 ± 0.027 0.692 ± 0.023 0.708 ± 0.008 GBM 0.725 ± 0.0 0.471 ± 0.068 0.528 ± 0.063 0.566 ± 0.064 0.563 ± 0.068 0.557 ± 0.093 0.611 ± 0.06 0.632 ± 0.07 0.647 ± 0.044 0.678 ± 0.027 0.709 ± 0.019 0.722 ± 0.015 Logistic Regression 0.678 ± 0.0 0.542 ± 0.081 0.556 ± 0.091 0.586 ± 0.075 0.575 ± 0.046 0.565 ± 0.059 0.579 ± 0.055 0.622 ± 0.025 0.624 ± 0.015 0.637 ± 0.027 0.641 ± 0.034 0.655 ± 0.018 Random Forest 0.741 ± 0.0 0.542 ± 0.083 0.537 ± 0.07 0.592 ± 0.044 0.603 ± 0.04 0.569 ± 0.09 0.616 ± 0.036 0.644 ± 0.04 0.673 ± 0.039 0.683 ± 0.027 0.707 ± 0.026 0.72 ± 0.029
Lupus Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.747 ± 0.0 0.526 ± 0.058 0.493 ± 0.04 0.529 ± 0.057 0.608 ± 0.095 0.62 ± 0.057 0.656 ± 0.058 0.646 ± 0.031 0.651 ± 0.04 0.671 ± 0.075 0.677 ± 0.093 0.7 ± 0.068 GBM 0.703 ± 0.0 0.478 ± 0.088 0.555 ± 0.043 0.555 ± 0.077 0.615 ± 0.089 0.595 ± 0.041 0.588 ± 0.066 0.634 ± 0.052 0.599 ± 0.047 0.642 ± 0.074 0.723 ± 0.026 0.755 ± 0.022 Logistic Regression 0.793 ± 0.0 0.535 ± 0.095 0.556 ± 0.04 0.553 ± 0.046 0.605 ± 0.071 0.611 ± 0.073 0.652 ± 0.085 0.617 ± 0.11 0.657 ± 0.035 0.684 ± 0.028 0.712 ± 0.02 0.715 ± 0.037 Random Forest 0.587 ± 0.0 0.487 ± 0.048 0.565 ± 0.07 0.512 ± 0.095 0.553 ± 0.124 0.571 ± 0.061 0.607 ± 0.047 0.642 ± 0.087 0.642 ± 0.054 0.656 ± 0.019 0.672 ± 0.015 0.639 ± 0.02
Hyperlipidemia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.675 ± 0.0 0.503 ± 0.036 0.519 ± 0.058 0.555 ± 0.032 0.597 ± 0.039 0.592 ± 0.028 0.597 ± 0.026 0.619 ± 0.013 0.618 ± 0.021 0.604 ± 0.044 0.638 ± 0.011 0.654 ± 0.011 GBM 0.699 ± 0.0 0.474 ± 0.032 0.498 ± 0.017 0.533 ± 0.034 0.564 ± 0.032 0.569 ± 0.033 0.55 ± 0.061 0.565 ± 0.034 0.605 ± 0.028 0.611 ± 0.033 0.647 ± 0.019 0.667 ± 0.032 Logistic Regression 0.72 ± 0.0 0.511 ± 0.06 0.532 ± 0.06 0.545 ± 0.045 0.578 ± 0.055 0.588 ± 0.039 0.603 ± 0.031 0.616 ± 0.045 0.651 ± 0.018 0.65 ± 0.028 0.658 ± 0.042 0.698 ± 0.017 Random Forest 0.625 ± 0.0 0.5 ± 0.05 0.517 ± 0.061 0.533 ± 0.071 0.575 ± 0.035 0.556 ± 0.032 0.559 ± 0.023 0.585 ± 0.035 0.598 ± 0.028 0.611 ± 0.017 0.613 ± 0.025 0.657 ± 0.015
Hypertension Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.718 ± 0.0 0.554 ± 0.061 0.632 ± 0.03 0.631 ± 0.051 0.646 ± 0.022 0.645 ± 0.023 0.668 ± 0.018 0.659 ± 0.032 0.663 ± 0.03 0.679 ± 0.021 0.682 ± 0.011 0.7 ± 0.011 GBM 0.637 ± 0.0 0.486 ± 0.067 0.509 ± 0.033 0.532 ± 0.073 0.538 ± 0.046 0.547 ± 0.047 0.558 ± 0.014 0.58 ± 0.037 0.566 ± 0.03 0.624 ± 0.027 0.642 ± 0.028 0.644 ± 0.014 Logistic Regression 0.689 ± 0.0 0.54 ± 0.028 0.575 ± 0.052 0.58 ± 0.069 0.571 ± 0.026 0.586 ± 0.053 0.612 ± 0.055 0.623 ± 0.035 0.603 ± 0.041 0.634 ± 0.027 0.647 ± 0.03 0.666 ± 0.041 Random Forest 0.627 ± 0.0 0.512 ± 0.022 0.504 ± 0.028 0.536 ± 0.016 0.549 ± 0.05 0.572 ± 0.059 0.572 ± 0.056 0.586 ± 0.061 0.578 ± 0.026 0.609 ± 0.043 0.63 ± 0.033 0.627 ± 0.028
Celiac Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.557 ± 0.0 0.455 ± 0.104 0.512 ± 0.155 0.573 ± 0.055 0.597 ± 0.109 0.617 ± 0.084 0.617 ± 0.065 0.613 ± 0.026 0.584 ± 0.072 0.613 ± 0.062 0.596 ± 0.1 0.6 ± 0.016 GBM 0.723 ± 0.0 0.482 ± 0.137 0.491 ± 0.08 0.465 ± 0.072 0.478 ± 0.114 0.55 ± 0.131 0.539 ± 0.095 0.596 ± 0.102 0.539 ± 0.087 0.563 ± 0.116 0.609 ± 0.09 0.69 ± 0.057 Logistic Regression 0.758 ± 0.0 0.519 ± 0.165 0.495 ± 0.199 0.481 ± 0.22 0.587 ± 0.149 0.571 ± 0.168 0.612 ± 0.134 0.668 ± 0.063 0.712 ± 0.054 0.754 ± 0.017 0.772 ± 0.031 0.78 ± 0.082 Random Forest 0.639 ± 0.0 0.456 ± 0.124 0.518 ± 0.097 0.502 ± 0.125 0.508 ± 0.101 0.536 ± 0.122 0.498 ± 0.137 0.57 ± 0.088 0.574 ± 0.047 0.649 ± 0.072 0.605 ± 0.093 0.579 ± 0.105
Pancreatic Cancer Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.813 ± 0.0 0.613 ± 0.044 0.628 ± 0.063 0.65 ± 0.054 0.677 ± 0.042 0.701 ± 0.076 0.715 ± 0.046 0.703 ± 0.028 0.729 ± 0.016 0.76 ± 0.035 0.772 ± 0.029 0.798 ± 0.015 GBM 0.824 ± 0.0 0.528 ± 0.054 0.544 ± 0.043 0.567 ± 0.127 0.668 ± 0.065 0.711 ± 0.074 0.666 ± 0.071 0.725 ± 0.038 0.752 ± 0.056 0.796 ± 0.021 0.816 ± 0.034 0.86 ± 0.023 Logistic Regression 0.856 ± 0.0 0.611 ± 0.031 0.623 ± 0.03 0.651 ± 0.079 0.675 ± 0.056 0.705 ± 0.046 0.726 ± 0.073 0.719 ± 0.064 0.715 ± 0.051 0.752 ± 0.053 0.787 ± 0.055 0.817 ± 0.034 Random Forest 0.885 ± 0.0 0.522 ± 0.032 0.596 ± 0.046 0.621 ± 0.035 0.627 ± 0.103 0.708 ± 0.065 0.719 ± 0.072 0.733 ± 0.054 0.764 ± 0.041 0.784 ± 0.022 0.814 ± 0.041 0.815 ± 0.013
Chest X-ray Findings# Lung Opacity Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.709 ± 0.0 0.581 ± 0.061 0.579 ± 0.096 0.607 ± 0.043 0.628 ± 0.033 0.632 ± 0.035 0.646 ± 0.031 0.641 ± 0.043 0.645 ± 0.034 0.658 ± 0.02 0.663 ± 0.017 0.667 ± 0.01 GBM 0.675 ± 0.0 0.515 ± 0.003 0.505 ± 0.01 0.512 ± 0.024 0.546 ± 0.031 0.564 ± 0.037 0.569 ± 0.032 0.557 ± 0.024 0.584 ± 0.032 0.586 ± 0.031 0.606 ± 0.011 0.596 ± 0.015 Logistic Regression 0.637 ± 0.0 0.533 ± 0.037 0.533 ± 0.043 0.571 ± 0.018 0.547 ± 0.017 0.543 ± 0.031 0.557 ± 0.008 0.565 ± 0.046 0.565 ± 0.031 0.586 ± 0.036 0.581 ± 0.023 0.59 ± 0.017 Random Forest 0.652 ± 0.0 0.531 ± 0.041 0.528 ± 0.034 0.556 ± 0.035 0.561 ± 0.037 0.554 ± 0.048 0.551 ± 0.035 0.562 ± 0.029 0.572 ± 0.046 0.579 ± 0.041 0.592 ± 0.032 0.615 ± 0.036
Pleural Effusion Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.754 ± 0.0 0.549 ± 0.056 0.571 ± 0.082 0.577 ± 0.106 0.626 ± 0.081 0.664 ± 0.04 0.68 ± 0.022 0.67 ± 0.047 0.684 ± 0.044 0.715 ± 0.004 0.719 ± 0.011 0.717 ± 0.013 GBM 0.673 ± 0.0 0.499 ± 0.012 0.504 ± 0.042 0.512 ± 0.053 0.496 ± 0.038 0.539 ± 0.04 0.536 ± 0.047 0.521 ± 0.037 0.566 ± 0.042 0.616 ± 0.044 0.618 ± 0.026 0.637 ± 0.032 Logistic Regression 0.676 ± 0.0 0.482 ± 0.031 0.49 ± 0.038 0.502 ± 0.07 0.537 ± 0.056 0.547 ± 0.047 0.559 ± 0.041 0.547 ± 0.019 0.57 ± 0.023 0.596 ± 0.024 0.617 ± 0.033 0.634 ± 0.018 Random Forest 0.678 ± 0.0 0.504 ± 0.006 0.48 ± 0.063 0.498 ± 0.061 0.55 ± 0.032 0.557 ± 0.052 0.556 ± 0.039 0.545 ± 0.044 0.58 ± 0.043 0.617 ± 0.042 0.642 ± 0.02 0.648 ± 0.015
Consolidation Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.68 ± 0.0 0.497 ± 0.028 0.528 ± 0.056 0.523 ± 0.04 0.561 ± 0.017 0.554 ± 0.015 0.552 ± 0.035 0.577 ± 0.044 0.587 ± 0.02 0.606 ± 0.018 0.617 ± 0.02 0.646 ± 0.008 GBM 0.604 ± 0.0 0.511 ± 0.033 0.513 ± 0.025 0.508 ± 0.034 0.534 ± 0.057 0.521 ± 0.042 0.514 ± 0.068 0.557 ± 0.049 0.566 ± 0.024 0.594 ± 0.055 0.591 ± 0.043 0.601 ± 0.045 Logistic Regression 0.615 ± 0.0 0.505 ± 0.057 0.537 ± 0.066 0.535 ± 0.076 0.551 ± 0.044 0.541 ± 0.047 0.553 ± 0.045 0.588 ± 0.048 0.563 ± 0.06 0.567 ± 0.046 0.589 ± 0.033 0.604 ± 0.025 Random Forest 0.617 ± 0.0 0.487 ± 0.058 0.535 ± 0.088 0.55 ± 0.053 0.528 ± 0.036 0.55 ± 0.042 0.532 ± 0.058 0.562 ± 0.035 0.571 ± 0.034 0.579 ± 0.035 0.606 ± 0.031 0.617 ± 0.014
Pleural Other Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.714 ± 0.0 0.497 ± 0.041 0.524 ± 0.055 0.555 ± 0.038 0.592 ± 0.053 0.597 ± 0.074 0.606 ± 0.069 0.609 ± 0.077 0.598 ± 0.092 0.601 ± 0.06 0.612 ± 0.05 0.65 ± 0.022 GBM 0.731 ± 0.0 0.488 ± 0.071 0.511 ± 0.111 0.526 ± 0.122 0.653 ± 0.023 0.614 ± 0.076 0.602 ± 0.057 0.657 ± 0.024 0.662 ± 0.074 0.645 ± 0.055 0.675 ± 0.048 0.701 ± 0.037 Logistic Regression 0.735 ± 0.0 0.578 ± 0.16 0.625 ± 0.076 0.578 ± 0.089 0.544 ± 0.097 0.61 ± 0.084 0.682 ± 0.04 0.685 ± 0.038 0.672 ± 0.067 0.661 ± 0.06 0.683 ± 0.045 0.72 ± 0.028 Random Forest 0.617 ± 0.0 0.516 ± 0.134 0.511 ± 0.122 0.559 ± 0.167 0.637 ± 0.049 0.636 ± 0.073 0.661 ± 0.066 0.709 ± 0.031 0.686 ± 0.082 0.693 ± 0.017 0.699 ± 0.045 0.734 ± 0.029
Pneumothorax Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.823 ± 0.0 0.528 ± 0.073 0.65 ± 0.047 0.641 ± 0.063 0.661 ± 0.108 0.703 ± 0.098 0.717 ± 0.046 0.738 ± 0.029 0.762 ± 0.012 0.777 ± 0.015 0.783 ± 0.019 0.786 ± 0.019 GBM 0.593 ± 0.0 0.596 ± 0.079 0.544 ± 0.056 0.44 ± 0.062 0.501 ± 0.108 0.605 ± 0.046 0.591 ± 0.075 0.592 ± 0.101 0.643 ± 0.062 0.632 ± 0.061 0.635 ± 0.03 0.662 ± 0.055 Logistic Regression 0.633 ± 0.0 0.532 ± 0.091 0.494 ± 0.066 0.544 ± 0.11 0.52 ± 0.105 0.58 ± 0.119 0.503 ± 0.033 0.541 ± 0.075 0.576 ± 0.1 0.594 ± 0.103 0.62 ± 0.111 0.561 ± 0.087 Random Forest 0.646 ± 0.0 0.482 ± 0.047 0.54 ± 0.06 0.502 ± 0.078 0.497 ± 0.129 0.568 ± 0.038 0.546 ± 0.078 0.56 ± 0.095 0.607 ± 0.056 0.584 ± 0.062 0.603 ± 0.062 0.626 ± 0.04
Edema Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.722 ± 0.0 0.476 ± 0.113 0.495 ± 0.077 0.561 ± 0.078 0.596 ± 0.071 0.639 ± 0.08 0.653 ± 0.049 0.671 ± 0.029 0.678 ± 0.019 0.684 ± 0.024 0.692 ± 0.005 0.702 ± 0.012 GBM 0.671 ± 0.0 0.504 ± 0.027 0.498 ± 0.024 0.482 ± 0.048 0.541 ± 0.06 0.536 ± 0.053 0.568 ± 0.039 0.587 ± 0.047 0.594 ± 0.032 0.613 ± 0.016 0.615 ± 0.021 0.629 ± 0.019 Logistic Regression 0.631 ± 0.0 0.508 ± 0.021 0.537 ± 0.038 0.55 ± 0.039 0.536 ± 0.038 0.538 ± 0.024 0.565 ± 0.032 0.581 ± 0.023 0.585 ± 0.027 0.623 ± 0.021 0.627 ± 0.029 0.646 ± 0.015 Random Forest 0.6 ± 0.0 0.489 ± 0.025 0.52 ± 0.045 0.528 ± 0.029 0.518 ± 0.031 0.537 ± 0.036 0.575 ± 0.047 0.554 ± 0.043 0.566 ± 0.03 0.616 ± 0.022 0.636 ± 0.033 0.636 ± 0.029
Enlarged Cardiomediastinum Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.64 ± 0.0 0.486 ± 0.049 0.513 ± 0.055 0.516 ± 0.06 0.553 ± 0.043 0.564 ± 0.034 0.561 ± 0.018 0.578 ± 0.037 0.583 ± 0.032 0.599 ± 0.01 0.606 ± 0.017 0.622 ± 0.018 GBM 0.656 ± 0.0 0.494 ± 0.058 0.53 ± 0.049 0.506 ± 0.086 0.56 ± 0.068 0.541 ± 0.049 0.552 ± 0.078 0.589 ± 0.045 0.611 ± 0.023 0.606 ± 0.028 0.606 ± 0.031 0.648 ± 0.038 Logistic Regression 0.691 ± 0.0 0.46 ± 0.105 0.535 ± 0.072 0.532 ± 0.107 0.553 ± 0.057 0.588 ± 0.059 0.587 ± 0.042 0.626 ± 0.044 0.625 ± 0.053 0.657 ± 0.017 0.646 ± 0.027 0.674 ± 0.008 Random Forest 0.568 ± 0.0 0.507 ± 0.109 0.475 ± 0.082 0.512 ± 0.085 0.561 ± 0.109 0.574 ± 0.065 0.583 ± 0.049 0.605 ± 0.021 0.581 ± 0.058 0.607 ± 0.052 0.634 ± 0.048 0.639 ± 0.038
Cardiomegaly Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.822 ± 0.0 0.578 ± 0.079 0.575 ± 0.085 0.628 ± 0.084 0.643 ± 0.098 0.65 ± 0.069 0.668 ± 0.062 0.721 ± 0.037 0.735 ± 0.031 0.754 ± 0.025 0.773 ± 0.018 0.78 ± 0.019 GBM 0.79 ± 0.0 0.476 ± 0.043 0.498 ± 0.064 0.519 ± 0.046 0.611 ± 0.065 0.604 ± 0.06 0.605 ± 0.08 0.622 ± 0.036 0.691 ± 0.046 0.706 ± 0.045 0.721 ± 0.041 0.761 ± 0.016 Logistic Regression 0.748 ± 0.0 0.565 ± 0.098 0.554 ± 0.063 0.572 ± 0.079 0.582 ± 0.13 0.586 ± 0.079 0.627 ± 0.089 0.686 ± 0.064 0.688 ± 0.052 0.704 ± 0.081 0.713 ± 0.083 0.714 ± 0.037 Random Forest 0.784 ± 0.0 0.546 ± 0.075 0.528 ± 0.03 0.523 ± 0.043 0.591 ± 0.093 0.59 ± 0.068 0.612 ± 0.053 0.644 ± 0.083 0.695 ± 0.063 0.708 ± 0.051 0.73 ± 0.044 0.752 ± 0.026
Support Devices Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.752 ± 0.0 0.59 ± 0.039 0.595 ± 0.091 0.604 ± 0.102 0.644 ± 0.03 0.662 ± 0.03 0.668 ± 0.016 0.666 ± 0.04 0.67 ± 0.029 0.687 ± 0.015 0.698 ± 0.012 0.707 ± 0.015 GBM 0.682 ± 0.0 0.501 ± 0.013 0.503 ± 0.027 0.503 ± 0.047 0.514 ± 0.044 0.56 ± 0.061 0.551 ± 0.051 0.577 ± 0.041 0.558 ± 0.047 0.596 ± 0.037 0.621 ± 0.022 0.628 ± 0.028 Logistic Regression 0.65 ± 0.0 0.493 ± 0.02 0.512 ± 0.036 0.522 ± 0.05 0.517 ± 0.06 0.545 ± 0.044 0.542 ± 0.052 0.536 ± 0.055 0.527 ± 0.031 0.556 ± 0.036 0.564 ± 0.029 0.596 ± 0.019 Random Forest 0.673 ± 0.0 0.502 ± 0.014 0.504 ± 0.035 0.508 ± 0.05 0.531 ± 0.064 0.558 ± 0.085 0.574 ± 0.059 0.538 ± 0.074 0.576 ± 0.021 0.607 ± 0.023 0.613 ± 0.025 0.645 ± 0.021
Fracture Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.734 ± 0.0 0.509 ± 0.068 0.52 ± 0.058 0.52 ± 0.068 0.588 ± 0.096 0.626 ± 0.046 0.633 ± 0.06 0.665 ± 0.018 0.678 ± 0.043 0.667 ± 0.045 0.682 ± 0.017 0.707 ± 0.017 GBM 0.71 ± 0.0 0.528 ± 0.035 0.505 ± 0.054 0.537 ± 0.036 0.563 ± 0.047 0.587 ± 0.062 0.54 ± 0.055 0.613 ± 0.066 0.628 ± 0.088 0.612 ± 0.063 0.622 ± 0.051 0.677 ± 0.04 Logistic Regression 0.67 ± 0.0 0.602 ± 0.044 0.552 ± 0.11 0.52 ± 0.09 0.588 ± 0.118 0.554 ± 0.057 0.616 ± 0.059 0.641 ± 0.026 0.653 ± 0.029 0.648 ± 0.049 0.648 ± 0.028 0.661 ± 0.038 Random Forest 0.607 ± 0.0 0.526 ± 0.057 0.547 ± 0.064 0.579 ± 0.082 0.586 ± 0.047 0.531 ± 0.076 0.57 ± 0.064 0.54 ± 0.068 0.609 ± 0.083 0.626 ± 0.064 0.613 ± 0.074 0.669 ± 0.05
Pneumonia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.609 ± 0.0 0.492 ± 0.029 0.503 ± 0.036 0.513 ± 0.043 0.506 ± 0.044 0.532 ± 0.047 0.526 ± 0.044 0.534 ± 0.041 0.538 ± 0.054 0.54 ± 0.035 0.541 ± 0.046 0.572 ± 0.025 GBM 0.58 ± 0.0 0.506 ± 0.02 0.495 ± 0.026 0.489 ± 0.033 0.52 ± 0.027 0.55 ± 0.015 0.536 ± 0.036 0.508 ± 0.017 0.51 ± 0.041 0.54 ± 0.027 0.534 ± 0.018 0.544 ± 0.024 Logistic Regression 0.553 ± 0.0 0.547 ± 0.033 0.538 ± 0.034 0.533 ± 0.045 0.539 ± 0.028 0.556 ± 0.009 0.519 ± 0.026 0.505 ± 0.031 0.534 ± 0.045 0.542 ± 0.026 0.506 ± 0.027 0.53 ± 0.041 Random Forest 0.567 ± 0.0 0.485 ± 0.042 0.51 ± 0.048 0.526 ± 0.044 0.551 ± 0.008 0.536 ± 0.046 0.522 ± 0.025 0.562 ± 0.017 0.527 ± 0.019 0.545 ± 0.016 0.544 ± 0.016 0.559 ± 0.017
Lung Lesion Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.761 ± 0.0 0.606 ± 0.057 0.611 ± 0.076 0.673 ± 0.038 0.657 ± 0.018 0.672 ± 0.029 0.676 ± 0.022 0.685 ± 0.013 0.699 ± 0.005 0.716 ± 0.017 0.721 ± 0.015 0.733 ± 0.016 GBM 0.709 ± 0.0 0.495 ± 0.06 0.511 ± 0.026 0.513 ± 0.027 0.531 ± 0.041 0.537 ± 0.024 0.549 ± 0.039 0.57 ± 0.021 0.594 ± 0.039 0.619 ± 0.029 0.634 ± 0.03 0.663 ± 0.015 Logistic Regression 0.696 ± 0.0 0.544 ± 0.069 0.535 ± 0.061 0.554 ± 0.064 0.557 ± 0.052 0.58 ± 0.031 0.594 ± 0.024 0.601 ± 0.03 0.599 ± 0.034 0.61 ± 0.031 0.644 ± 0.023 0.648 ± 0.046 Random Forest 0.737 ± 0.0 0.507 ± 0.045 0.522 ± 0.035 0.518 ± 0.042 0.531 ± 0.046 0.529 ± 0.041 0.55 ± 0.022 0.579 ± 0.028 0.593 ± 0.03 0.594 ± 0.02 0.62 ± 0.029 0.661 ± 0.032
Atelectasis Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.655 ± 0.0 0.466 ± 0.11 0.502 ± 0.091 0.542 ± 0.089 0.552 ± 0.105 0.569 ± 0.073 0.586 ± 0.057 0.566 ± 0.046 0.581 ± 0.059 0.63 ± 0.019 0.638 ± 0.019 0.65 ± 0.009 GBM 0.515 ± 0.0 0.49 ± 0.026 0.508 ± 0.039 0.5 ± 0.041 0.504 ± 0.046 0.51 ± 0.036 0.515 ± 0.03 0.545 ± 0.018 0.538 ± 0.034 0.53 ± 0.039 0.515 ± 0.026 0.561 ± 0.022 Logistic Regression 0.538 ± 0.0 0.488 ± 0.053 0.513 ± 0.036 0.484 ± 0.049 0.512 ± 0.044 0.502 ± 0.051 0.496 ± 0.034 0.508 ± 0.021 0.527 ± 0.021 0.518 ± 0.039 0.507 ± 0.043 0.525 ± 0.018 Random Forest 0.502 ± 0.0 0.515 ± 0.039 0.499 ± 0.041 0.474 ± 0.032 0.505 ± 0.048 0.515 ± 0.021 0.531 ± 0.051 0.517 ± 0.03 0.51 ± 0.038 0.54 ± 0.027 0.518 ± 0.052 0.556 ± 0.015
No Finding Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.606 ± 0.0 0.494 ± 0.028 0.529 ± 0.037 0.533 ± 0.014 0.54 ± 0.022 0.54 ± 0.009 0.536 ± 0.011 0.547 ± 0.016 0.543 ± 0.014 0.564 ± 0.027 0.559 ± 0.019 0.57 ± 0.015 GBM 0.594 ± 0.0 0.504 ± 0.018 0.5 ± 0.02 0.51 ± 0.01 0.515 ± 0.021 0.508 ± 0.015 0.515 ± 0.024 0.525 ± 0.024 0.533 ± 0.01 0.534 ± 0.021 0.543 ± 0.016 0.537 ± 0.009 Logistic Regression 0.578 ± 0.0 0.477 ± 0.029 0.509 ± 0.036 0.502 ± 0.016 0.507 ± 0.016 0.524 ± 0.017 0.514 ± 0.019 0.528 ± 0.027 0.542 ± 0.035 0.543 ± 0.02 0.539 ± 0.016 0.551 ± 0.016 Random Forest 0.583 ± 0.0 0.491 ± 0.024 0.497 ± 0.023 0.5 ± 0.027 0.519 ± 0.028 0.521 ± 0.015 0.505 ± 0.015 0.522 ± 0.016 0.529 ± 0.021 0.529 ± 0.023 0.537 ± 0.014 0.561 ± 0.02
AUPRC# Operational Outcomes# Long LOS Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.576 ± 0.0 0.282 ± 0.051 0.3 ± 0.044 0.309 ± 0.045 0.315 ± 0.032 0.335 ± 0.026 0.337 ± 0.03 0.358 ± 0.033 0.364 ± 0.015 0.41 ± 0.044 0.439 ± 0.035 0.473 ± 0.036 GBM 0.532 ± 0.0 0.255 ± 0.017 0.253 ± 0.018 0.265 ± 0.032 0.295 ± 0.03 0.292 ± 0.025 0.296 ± 0.027 0.305 ± 0.03 0.323 ± 0.012 0.349 ± 0.041 0.38 ± 0.036 0.4 ± 0.033 Logistic Regression 0.384 ± 0.0 0.237 ± 0.022 0.251 ± 0.016 0.283 ± 0.032 0.283 ± 0.02 0.283 ± 0.012 0.294 ± 0.012 0.308 ± 0.027 0.311 ± 0.013 0.346 ± 0.017 0.34 ± 0.014 0.365 ± 0.015 Random Forest 0.483 ± 0.0 0.249 ± 0.014 0.25 ± 0.035 0.279 ± 0.058 0.284 ± 0.027 0.312 ± 0.024 0.324 ± 0.029 0.311 ± 0.04 0.334 ± 0.025 0.347 ± 0.038 0.383 ± 0.037 0.424 ± 0.022
ICU Admission Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.324 ± 0.0 0.093 ± 0.042 0.095 ± 0.036 0.108 ± 0.044 0.142 ± 0.068 0.152 ± 0.022 0.181 ± 0.039 0.195 ± 0.059 0.215 ± 0.055 0.211 ± 0.042 0.209 ± 0.057 0.256 ± 0.024 GBM 0.218 ± 0.0 0.046 ± 0.004 0.046 ± 0.007 0.049 ± 0.009 0.064 ± 0.019 0.065 ± 0.019 0.073 ± 0.015 0.079 ± 0.014 0.109 ± 0.027 0.113 ± 0.041 0.129 ± 0.045 0.165 ± 0.028 Logistic Regression 0.094 ± 0.0 0.056 ± 0.015 0.053 ± 0.015 0.054 ± 0.014 0.067 ± 0.026 0.076 ± 0.023 0.079 ± 0.032 0.089 ± 0.026 0.093 ± 0.025 0.081 ± 0.017 0.078 ± 0.009 0.097 ± 0.009 Random Forest 0.089 ± 0.0 0.055 ± 0.021 0.048 ± 0.007 0.056 ± 0.016 0.069 ± 0.023 0.07 ± 0.035 0.086 ± 0.026 0.095 ± 0.035 0.127 ± 0.048 0.115 ± 0.034 0.116 ± 0.046 0.19 ± 0.02
30-day Readmission Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.412 ± 0.0 0.135 ± 0.049 0.182 ± 0.067 0.253 ± 0.051 0.237 ± 0.059 0.267 ± 0.09 0.297 ± 0.04 0.317 ± 0.028 0.329 ± 0.023 0.364 ± 0.021 0.368 ± 0.028 0.35 ± 0.021 GBM 0.327 ± 0.0 0.119 ± 0.005 0.133 ± 0.018 0.134 ± 0.016 0.189 ± 0.035 0.169 ± 0.036 0.177 ± 0.015 0.215 ± 0.02 0.212 ± 0.039 0.228 ± 0.017 0.245 ± 0.019 0.276 ± 0.034 Logistic Regression 0.258 ± 0.0 0.15 ± 0.047 0.162 ± 0.044 0.19 ± 0.033 0.201 ± 0.048 0.196 ± 0.042 0.194 ± 0.043 0.191 ± 0.029 0.195 ± 0.02 0.207 ± 0.021 0.217 ± 0.019 0.229 ± 0.023 Random Forest 0.335 ± 0.0 0.145 ± 0.021 0.142 ± 0.031 0.147 ± 0.034 0.175 ± 0.026 0.169 ± 0.031 0.205 ± 0.026 0.213 ± 0.024 0.206 ± 0.029 0.24 ± 0.015 0.24 ± 0.023 0.267 ± 0.01
Anticipating Lab Test Results# Anemia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.982 ± 0.0 0.777 ± 0.066 0.826 ± 0.078 0.862 ± 0.077 0.918 ± 0.017 0.925 ± 0.024 0.938 ± 0.016 0.948 ± 0.009 0.954 ± 0.007 0.959 ± 0.007 0.964 ± 0.003 0.972 ± 0.001 GBM 0.899 ± 0.0 0.682 ± 0.012 0.699 ± 0.024 0.716 ± 0.005 0.757 ± 0.022 0.765 ± 0.022 0.771 ± 0.039 0.784 ± 0.027 0.797 ± 0.016 0.823 ± 0.018 0.826 ± 0.007 0.846 ± 0.007 Logistic Regression 0.838 ± 0.0 0.678 ± 0.074 0.698 ± 0.065 0.743 ± 0.016 0.756 ± 0.009 0.761 ± 0.02 0.769 ± 0.017 0.767 ± 0.014 0.77 ± 0.022 0.774 ± 0.011 0.78 ± 0.012 0.793 ± 0.014 Random Forest 0.891 ± 0.0 0.686 ± 0.043 0.688 ± 0.06 0.749 ± 0.007 0.768 ± 0.015 0.775 ± 0.028 0.786 ± 0.024 0.786 ± 0.013 0.797 ± 0.019 0.807 ± 0.021 0.825 ± 0.007 0.847 ± 0.007
Hyperkalemia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.153 ± 0.0 0.029 ± 0.006 0.033 ± 0.008 0.034 ± 0.006 0.041 ± 0.006 0.045 ± 0.01 0.049 ± 0.014 0.049 ± 0.012 0.059 ± 0.011 0.068 ± 0.018 0.075 ± 0.019 0.083 ± 0.011 GBM 0.082 ± 0.0 0.025 ± 0.001 0.025 ± 0.001 0.026 ± 0.005 0.029 ± 0.004 0.026 ± 0.004 0.026 ± 0.003 0.038 ± 0.013 0.037 ± 0.007 0.04 ± 0.009 0.039 ± 0.006 0.052 ± 0.014 Logistic Regression 0.055 ± 0.0 0.028 ± 0.004 0.029 ± 0.002 0.029 ± 0.005 0.03 ± 0.005 0.031 ± 0.007 0.029 ± 0.006 0.031 ± 0.005 0.035 ± 0.003 0.036 ± 0.004 0.037 ± 0.002 0.036 ± 0.004 Random Forest 0.052 ± 0.0 0.025 ± 0.006 0.028 ± 0.004 0.027 ± 0.005 0.03 ± 0.003 0.032 ± 0.006 0.032 ± 0.007 0.03 ± 0.001 0.034 ± 0.006 0.037 ± 0.008 0.043 ± 0.008 0.048 ± 0.007
Hypoglycemia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.086 ± 0.0 0.014 ± 0.001 0.015 ± 0.002 0.016 ± 0.004 0.016 ± 0.004 0.017 ± 0.004 0.018 ± 0.003 0.02 ± 0.004 0.022 ± 0.004 0.025 ± 0.003 0.026 ± 0.003 0.037 ± 0.006 GBM 0.021 ± 0.0 0.014 ± 0.001 0.014 ± 0.001 0.014 ± 0.001 0.014 ± 0.001 0.014 ± 0.001 0.014 ± 0.001 0.015 ± 0.001 0.016 ± 0.003 0.016 ± 0.001 0.016 ± 0.002 0.017 ± 0.001 Logistic Regression 0.02 ± 0.0 0.016 ± 0.002 0.016 ± 0.001 0.016 ± 0.003 0.015 ± 0.003 0.015 ± 0.003 0.016 ± 0.003 0.017 ± 0.002 0.016 ± 0.002 0.016 ± 0.002 0.016 ± 0.002 0.018 ± 0.001 Random Forest 0.02 ± 0.0 0.015 ± 0.002 0.014 ± 0.001 0.014 ± 0.001 0.014 ± 0.002 0.014 ± 0.002 0.014 ± 0.002 0.016 ± 0.001 0.016 ± 0.002 0.016 ± 0.002 0.016 ± 0.001 0.016 ± 0.001
Hyponatremia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.575 ± 0.0 0.296 ± 0.018 0.307 ± 0.026 0.32 ± 0.021 0.318 ± 0.016 0.319 ± 0.02 0.322 ± 0.023 0.333 ± 0.027 0.35 ± 0.025 0.354 ± 0.027 0.367 ± 0.026 0.408 ± 0.029 GBM 0.438 ± 0.0 0.287 ± 0.0 0.287 ± 0.002 0.296 ± 0.006 0.297 ± 0.01 0.304 ± 0.021 0.3 ± 0.013 0.302 ± 0.007 0.311 ± 0.011 0.312 ± 0.016 0.309 ± 0.019 0.339 ± 0.027 Logistic Regression 0.374 ± 0.0 0.29 ± 0.009 0.288 ± 0.02 0.292 ± 0.012 0.294 ± 0.014 0.3 ± 0.01 0.3 ± 0.01 0.299 ± 0.015 0.304 ± 0.018 0.293 ± 0.016 0.295 ± 0.015 0.302 ± 0.026 Random Forest 0.392 ± 0.0 0.295 ± 0.005 0.288 ± 0.009 0.297 ± 0.014 0.293 ± 0.008 0.301 ± 0.015 0.301 ± 0.013 0.302 ± 0.019 0.305 ± 0.02 0.31 ± 0.02 0.307 ± 0.02 0.321 ± 0.025
Thrombocytopenia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.784 ± 0.0 0.37 ± 0.067 0.409 ± 0.061 0.456 ± 0.065 0.473 ± 0.047 0.468 ± 0.036 0.5 ± 0.039 0.527 ± 0.023 0.564 ± 0.037 0.6 ± 0.046 0.635 ± 0.041 0.671 ± 0.02 GBM 0.736 ± 0.0 0.346 ± 0.008 0.341 ± 0.013 0.35 ± 0.019 0.44 ± 0.045 0.444 ± 0.028 0.462 ± 0.074 0.464 ± 0.05 0.473 ± 0.029 0.529 ± 0.027 0.571 ± 0.02 0.593 ± 0.016 Logistic Regression 0.63 ± 0.0 0.353 ± 0.042 0.416 ± 0.083 0.419 ± 0.039 0.461 ± 0.019 0.462 ± 0.018 0.476 ± 0.039 0.439 ± 0.028 0.44 ± 0.04 0.48 ± 0.028 0.49 ± 0.03 0.513 ± 0.012 Random Forest 0.723 ± 0.0 0.345 ± 0.019 0.37 ± 0.052 0.381 ± 0.04 0.456 ± 0.043 0.429 ± 0.048 0.458 ± 0.052 0.471 ± 0.036 0.491 ± 0.024 0.562 ± 0.032 0.576 ± 0.023 0.598 ± 0.009
Assignment of New Diagnoses# Acute MI Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.183 ± 0.0 0.086 ± 0.014 0.093 ± 0.031 0.12 ± 0.023 0.096 ± 0.019 0.099 ± 0.038 0.118 ± 0.055 0.137 ± 0.028 0.159 ± 0.027 0.138 ± 0.02 0.154 ± 0.021 0.158 ± 0.012 GBM 0.184 ± 0.0 0.066 ± 0.009 0.073 ± 0.01 0.081 ± 0.01 0.087 ± 0.018 0.084 ± 0.021 0.107 ± 0.015 0.122 ± 0.03 0.117 ± 0.026 0.134 ± 0.017 0.152 ± 0.024 0.158 ± 0.013 Logistic Regression 0.135 ± 0.0 0.082 ± 0.018 0.087 ± 0.024 0.098 ± 0.019 0.092 ± 0.016 0.093 ± 0.018 0.092 ± 0.012 0.106 ± 0.006 0.103 ± 0.011 0.11 ± 0.012 0.111 ± 0.013 0.116 ± 0.009 Random Forest 0.165 ± 0.0 0.083 ± 0.019 0.082 ± 0.017 0.088 ± 0.009 0.096 ± 0.017 0.09 ± 0.022 0.103 ± 0.008 0.111 ± 0.019 0.122 ± 0.025 0.128 ± 0.027 0.143 ± 0.023 0.152 ± 0.013
Pancreatic Cancer Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.252 ± 0.0 0.047 ± 0.018 0.059 ± 0.016 0.087 ± 0.07 0.08 ± 0.028 0.102 ± 0.04 0.123 ± 0.052 0.123 ± 0.039 0.134 ± 0.053 0.137 ± 0.049 0.15 ± 0.058 0.177 ± 0.044 GBM 0.372 ± 0.0 0.027 ± 0.004 0.028 ± 0.003 0.04 ± 0.03 0.068 ± 0.024 0.094 ± 0.047 0.071 ± 0.032 0.08 ± 0.024 0.128 ± 0.047 0.177 ± 0.059 0.181 ± 0.063 0.243 ± 0.068 Logistic Regression 0.157 ± 0.0 0.058 ± 0.028 0.043 ± 0.007 0.05 ± 0.011 0.051 ± 0.011 0.056 ± 0.015 0.063 ± 0.025 0.072 ± 0.026 0.067 ± 0.015 0.085 ± 0.026 0.115 ± 0.042 0.122 ± 0.032 Random Forest 0.472 ± 0.0 0.028 ± 0.003 0.04 ± 0.01 0.049 ± 0.006 0.061 ± 0.047 0.069 ± 0.028 0.086 ± 0.032 0.103 ± 0.033 0.113 ± 0.037 0.136 ± 0.036 0.153 ± 0.039 0.172 ± 0.043
Lupus Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.024 ± 0.0 0.012 ± 0.002 0.011 ± 0.002 0.012 ± 0.003 0.015 ± 0.005 0.015 ± 0.004 0.016 ± 0.003 0.018 ± 0.007 0.026 ± 0.022 0.02 ± 0.009 0.018 ± 0.006 0.018 ± 0.006 GBM 0.179 ± 0.0 0.009 ± 0.001 0.01 ± 0.001 0.011 ± 0.002 0.015 ± 0.005 0.03 ± 0.03 0.017 ± 0.007 0.029 ± 0.021 0.036 ± 0.022 0.058 ± 0.032 0.061 ± 0.038 0.079 ± 0.023 Logistic Regression 0.093 ± 0.0 0.011 ± 0.003 0.012 ± 0.002 0.01 ± 0.002 0.012 ± 0.003 0.012 ± 0.003 0.015 ± 0.004 0.013 ± 0.004 0.015 ± 0.002 0.016 ± 0.002 0.018 ± 0.003 0.019 ± 0.003 Random Forest 0.016 ± 0.0 0.009 ± 0.001 0.012 ± 0.004 0.01 ± 0.002 0.012 ± 0.004 0.014 ± 0.005 0.016 ± 0.008 0.025 ± 0.016 0.022 ± 0.009 0.036 ± 0.022 0.055 ± 0.067 0.049 ± 0.038
Hyperlipidemia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.225 ± 0.0 0.142 ± 0.013 0.149 ± 0.029 0.161 ± 0.02 0.18 ± 0.017 0.175 ± 0.015 0.179 ± 0.016 0.193 ± 0.013 0.191 ± 0.017 0.181 ± 0.021 0.198 ± 0.006 0.214 ± 0.004 GBM 0.258 ± 0.0 0.126 ± 0.006 0.13 ± 0.004 0.142 ± 0.01 0.158 ± 0.018 0.152 ± 0.013 0.157 ± 0.02 0.165 ± 0.022 0.202 ± 0.025 0.184 ± 0.031 0.21 ± 0.011 0.222 ± 0.017 Logistic Regression 0.247 ± 0.0 0.144 ± 0.025 0.166 ± 0.046 0.164 ± 0.015 0.169 ± 0.026 0.174 ± 0.028 0.183 ± 0.019 0.188 ± 0.027 0.212 ± 0.02 0.203 ± 0.018 0.208 ± 0.029 0.244 ± 0.013 Random Forest 0.193 ± 0.0 0.138 ± 0.019 0.143 ± 0.022 0.151 ± 0.03 0.161 ± 0.014 0.149 ± 0.014 0.16 ± 0.006 0.181 ± 0.026 0.195 ± 0.021 0.193 ± 0.019 0.186 ± 0.02 0.227 ± 0.013
Hypertension Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.258 ± 0.0 0.151 ± 0.033 0.189 ± 0.017 0.188 ± 0.024 0.205 ± 0.02 0.213 ± 0.022 0.224 ± 0.027 0.222 ± 0.038 0.22 ± 0.03 0.226 ± 0.023 0.233 ± 0.024 0.243 ± 0.019 GBM 0.221 ± 0.0 0.127 ± 0.013 0.129 ± 0.008 0.14 ± 0.019 0.138 ± 0.01 0.148 ± 0.016 0.152 ± 0.008 0.175 ± 0.034 0.165 ± 0.021 0.198 ± 0.009 0.209 ± 0.023 0.206 ± 0.017 Logistic Regression 0.212 ± 0.0 0.138 ± 0.01 0.151 ± 0.022 0.158 ± 0.033 0.147 ± 0.013 0.16 ± 0.034 0.175 ± 0.037 0.176 ± 0.024 0.169 ± 0.023 0.182 ± 0.02 0.188 ± 0.018 0.191 ± 0.021 Random Forest 0.226 ± 0.0 0.133 ± 0.008 0.142 ± 0.038 0.146 ± 0.016 0.159 ± 0.031 0.164 ± 0.037 0.175 ± 0.036 0.175 ± 0.052 0.167 ± 0.01 0.19 ± 0.038 0.208 ± 0.03 0.203 ± 0.035
Celiac Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.017 ± 0.0 0.016 ± 0.016 0.017 ± 0.017 0.016 ± 0.008 0.023 ± 0.015 0.021 ± 0.008 0.022 ± 0.013 0.014 ± 0.001 0.018 ± 0.006 0.024 ± 0.016 0.015 ± 0.005 0.016 ± 0.005 GBM 0.058 ± 0.0 0.01 ± 0.002 0.01 ± 0.001 0.01 ± 0.003 0.052 ± 0.065 0.014 ± 0.007 0.013 ± 0.005 0.015 ± 0.004 0.012 ± 0.004 0.016 ± 0.008 0.031 ± 0.022 0.026 ± 0.012 Logistic Regression 0.231 ± 0.0 0.015 ± 0.009 0.017 ± 0.011 0.015 ± 0.011 0.02 ± 0.014 0.02 ± 0.011 0.026 ± 0.016 0.04 ± 0.026 0.049 ± 0.038 0.082 ± 0.019 0.088 ± 0.068 0.094 ± 0.017 Random Forest 0.045 ± 0.0 0.01 ± 0.002 0.024 ± 0.026 0.012 ± 0.006 0.016 ± 0.009 0.019 ± 0.015 0.014 ± 0.008 0.014 ± 0.005 0.015 ± 0.003 0.03 ± 0.014 0.039 ± 0.046 0.019 ± 0.012
Chest X-ray Findings# Lung Opacity Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.399 ± 0.0 0.248 ± 0.049 0.26 ± 0.063 0.276 ± 0.051 0.29 ± 0.045 0.3 ± 0.047 0.314 ± 0.043 0.315 ± 0.063 0.317 ± 0.06 0.329 ± 0.041 0.34 ± 0.041 0.336 ± 0.028 GBM 0.362 ± 0.0 0.198 ± 0.002 0.195 ± 0.003 0.2 ± 0.012 0.225 ± 0.019 0.246 ± 0.026 0.238 ± 0.025 0.231 ± 0.013 0.252 ± 0.032 0.257 ± 0.03 0.276 ± 0.013 0.26 ± 0.017 Logistic Regression 0.288 ± 0.0 0.202 ± 0.014 0.202 ± 0.017 0.222 ± 0.017 0.211 ± 0.014 0.212 ± 0.022 0.216 ± 0.011 0.231 ± 0.034 0.231 ± 0.032 0.24 ± 0.021 0.234 ± 0.017 0.248 ± 0.013 Random Forest 0.32 ± 0.0 0.211 ± 0.023 0.206 ± 0.015 0.225 ± 0.029 0.233 ± 0.027 0.221 ± 0.034 0.221 ± 0.029 0.234 ± 0.02 0.245 ± 0.037 0.246 ± 0.041 0.255 ± 0.032 0.277 ± 0.039
Pleural Effusion Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.299 ± 0.0 0.147 ± 0.022 0.155 ± 0.035 0.165 ± 0.057 0.199 ± 0.058 0.222 ± 0.038 0.232 ± 0.029 0.226 ± 0.043 0.237 ± 0.039 0.266 ± 0.009 0.27 ± 0.018 0.263 ± 0.015 GBM 0.226 ± 0.0 0.129 ± 0.002 0.132 ± 0.009 0.14 ± 0.026 0.132 ± 0.013 0.152 ± 0.021 0.147 ± 0.021 0.14 ± 0.018 0.158 ± 0.017 0.198 ± 0.029 0.2 ± 0.025 0.216 ± 0.019 Logistic Regression 0.249 ± 0.0 0.121 ± 0.007 0.123 ± 0.009 0.131 ± 0.014 0.142 ± 0.022 0.146 ± 0.013 0.158 ± 0.016 0.151 ± 0.016 0.164 ± 0.017 0.171 ± 0.012 0.192 ± 0.014 0.215 ± 0.013 Random Forest 0.212 ± 0.0 0.13 ± 0.003 0.123 ± 0.015 0.128 ± 0.017 0.149 ± 0.018 0.157 ± 0.024 0.154 ± 0.02 0.149 ± 0.018 0.174 ± 0.031 0.195 ± 0.043 0.213 ± 0.01 0.207 ± 0.019
Consolidation Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.073 ± 0.0 0.039 ± 0.005 0.044 ± 0.008 0.042 ± 0.004 0.047 ± 0.004 0.045 ± 0.002 0.046 ± 0.004 0.052 ± 0.006 0.053 ± 0.006 0.052 ± 0.004 0.055 ± 0.003 0.061 ± 0.004 GBM 0.05 ± 0.0 0.039 ± 0.003 0.039 ± 0.002 0.04 ± 0.004 0.046 ± 0.008 0.042 ± 0.005 0.043 ± 0.011 0.05 ± 0.011 0.047 ± 0.006 0.058 ± 0.014 0.053 ± 0.009 0.057 ± 0.012 Logistic Regression 0.066 ± 0.0 0.049 ± 0.013 0.05 ± 0.012 0.047 ± 0.012 0.051 ± 0.007 0.048 ± 0.009 0.048 ± 0.008 0.057 ± 0.01 0.051 ± 0.01 0.052 ± 0.012 0.058 ± 0.01 0.06 ± 0.008 Random Forest 0.057 ± 0.0 0.038 ± 0.006 0.045 ± 0.01 0.045 ± 0.007 0.042 ± 0.004 0.047 ± 0.013 0.044 ± 0.007 0.051 ± 0.007 0.048 ± 0.005 0.051 ± 0.01 0.056 ± 0.008 0.061 ± 0.011
Pleural Other Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.063 ± 0.0 0.018 ± 0.003 0.021 ± 0.005 0.024 ± 0.005 0.029 ± 0.007 0.029 ± 0.01 0.027 ± 0.008 0.03 ± 0.01 0.029 ± 0.011 0.027 ± 0.009 0.035 ± 0.016 0.037 ± 0.004 GBM 0.052 ± 0.0 0.016 ± 0.002 0.018 ± 0.004 0.018 ± 0.007 0.028 ± 0.004 0.027 ± 0.007 0.024 ± 0.007 0.029 ± 0.006 0.031 ± 0.01 0.028 ± 0.006 0.035 ± 0.009 0.044 ± 0.01 Logistic Regression 0.043 ± 0.0 0.022 ± 0.008 0.023 ± 0.008 0.02 ± 0.006 0.018 ± 0.006 0.022 ± 0.007 0.03 ± 0.009 0.028 ± 0.006 0.028 ± 0.009 0.026 ± 0.007 0.027 ± 0.005 0.032 ± 0.004 Random Forest 0.022 ± 0.0 0.019 ± 0.005 0.018 ± 0.006 0.024 ± 0.013 0.025 ± 0.004 0.03 ± 0.011 0.03 ± 0.007 0.038 ± 0.005 0.032 ± 0.01 0.033 ± 0.004 0.041 ± 0.014 0.041 ± 0.005
Pneumothorax Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.184 ± 0.0 0.048 ± 0.008 0.07 ± 0.014 0.069 ± 0.02 0.076 ± 0.025 0.096 ± 0.029 0.097 ± 0.02 0.101 ± 0.016 0.119 ± 0.007 0.14 ± 0.013 0.142 ± 0.018 0.14 ± 0.017 GBM 0.083 ± 0.0 0.056 ± 0.009 0.048 ± 0.005 0.042 ± 0.005 0.047 ± 0.01 0.064 ± 0.016 0.063 ± 0.018 0.083 ± 0.033 0.085 ± 0.035 0.074 ± 0.024 0.069 ± 0.009 0.09 ± 0.023 Logistic Regression 0.063 ± 0.0 0.049 ± 0.014 0.048 ± 0.006 0.066 ± 0.048 0.055 ± 0.016 0.078 ± 0.041 0.054 ± 0.012 0.063 ± 0.033 0.074 ± 0.032 0.078 ± 0.038 0.086 ± 0.049 0.058 ± 0.016 Random Forest 0.063 ± 0.0 0.044 ± 0.003 0.056 ± 0.007 0.047 ± 0.011 0.049 ± 0.018 0.061 ± 0.021 0.061 ± 0.018 0.061 ± 0.019 0.067 ± 0.021 0.064 ± 0.016 0.06 ± 0.012 0.074 ± 0.013
Edema Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.175 ± 0.0 0.076 ± 0.022 0.077 ± 0.013 0.095 ± 0.02 0.106 ± 0.026 0.127 ± 0.03 0.132 ± 0.024 0.142 ± 0.024 0.143 ± 0.017 0.149 ± 0.02 0.156 ± 0.004 0.158 ± 0.017 GBM 0.138 ± 0.0 0.077 ± 0.004 0.076 ± 0.002 0.074 ± 0.007 0.087 ± 0.014 0.089 ± 0.017 0.096 ± 0.017 0.107 ± 0.019 0.111 ± 0.016 0.112 ± 0.011 0.121 ± 0.014 0.131 ± 0.014 Logistic Regression 0.125 ± 0.0 0.077 ± 0.002 0.081 ± 0.007 0.084 ± 0.006 0.082 ± 0.008 0.083 ± 0.006 0.09 ± 0.008 0.095 ± 0.01 0.097 ± 0.011 0.112 ± 0.011 0.114 ± 0.013 0.124 ± 0.011 Random Forest 0.098 ± 0.0 0.074 ± 0.004 0.08 ± 0.009 0.084 ± 0.013 0.083 ± 0.007 0.086 ± 0.012 0.097 ± 0.017 0.093 ± 0.012 0.096 ± 0.009 0.117 ± 0.011 0.132 ± 0.022 0.127 ± 0.017
Enlarged Cardiomediastinum Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.033 ± 0.0 0.017 ± 0.002 0.02 ± 0.006 0.02 ± 0.004 0.022 ± 0.002 0.022 ± 0.002 0.023 ± 0.002 0.026 ± 0.006 0.025 ± 0.004 0.026 ± 0.003 0.028 ± 0.002 0.029 ± 0.001 GBM 0.029 ± 0.0 0.018 ± 0.002 0.019 ± 0.002 0.019 ± 0.003 0.022 ± 0.005 0.021 ± 0.003 0.022 ± 0.004 0.025 ± 0.003 0.029 ± 0.004 0.028 ± 0.004 0.027 ± 0.003 0.028 ± 0.005 Logistic Regression 0.033 ± 0.0 0.017 ± 0.006 0.019 ± 0.004 0.019 ± 0.005 0.019 ± 0.002 0.021 ± 0.004 0.021 ± 0.003 0.026 ± 0.006 0.026 ± 0.005 0.028 ± 0.003 0.028 ± 0.004 0.031 ± 0.003 Random Forest 0.021 ± 0.0 0.02 ± 0.005 0.018 ± 0.003 0.019 ± 0.003 0.024 ± 0.007 0.023 ± 0.005 0.026 ± 0.006 0.026 ± 0.002 0.024 ± 0.004 0.025 ± 0.005 0.027 ± 0.004 0.029 ± 0.004
Support Devices Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.525 ± 0.0 0.301 ± 0.039 0.309 ± 0.061 0.323 ± 0.078 0.355 ± 0.04 0.398 ± 0.054 0.414 ± 0.027 0.404 ± 0.063 0.414 ± 0.048 0.443 ± 0.035 0.463 ± 0.013 0.457 ± 0.016 GBM 0.447 ± 0.0 0.242 ± 0.005 0.243 ± 0.01 0.25 ± 0.027 0.252 ± 0.026 0.304 ± 0.05 0.274 ± 0.031 0.307 ± 0.032 0.283 ± 0.033 0.328 ± 0.051 0.339 ± 0.03 0.359 ± 0.038 Logistic Regression 0.363 ± 0.0 0.231 ± 0.01 0.24 ± 0.019 0.252 ± 0.034 0.247 ± 0.028 0.266 ± 0.03 0.265 ± 0.032 0.259 ± 0.032 0.25 ± 0.017 0.278 ± 0.023 0.282 ± 0.026 0.311 ± 0.024 Random Forest 0.409 ± 0.0 0.239 ± 0.006 0.242 ± 0.019 0.244 ± 0.02 0.258 ± 0.044 0.286 ± 0.047 0.29 ± 0.043 0.267 ± 0.045 0.295 ± 0.018 0.326 ± 0.036 0.342 ± 0.042 0.368 ± 0.036
Cardiomegaly Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.161 ± 0.0 0.056 ± 0.015 0.057 ± 0.02 0.062 ± 0.016 0.067 ± 0.021 0.066 ± 0.015 0.069 ± 0.017 0.087 ± 0.02 0.09 ± 0.012 0.097 ± 0.013 0.111 ± 0.012 0.113 ± 0.008 GBM 0.139 ± 0.0 0.037 ± 0.003 0.039 ± 0.005 0.043 ± 0.007 0.059 ± 0.013 0.063 ± 0.021 0.061 ± 0.019 0.072 ± 0.017 0.098 ± 0.027 0.107 ± 0.032 0.109 ± 0.017 0.114 ± 0.015 Logistic Regression 0.118 ± 0.0 0.047 ± 0.017 0.041 ± 0.007 0.046 ± 0.011 0.053 ± 0.02 0.05 ± 0.016 0.056 ± 0.017 0.067 ± 0.015 0.069 ± 0.012 0.073 ± 0.018 0.08 ± 0.024 0.084 ± 0.013 Random Forest 0.13 ± 0.0 0.049 ± 0.02 0.042 ± 0.003 0.042 ± 0.005 0.06 ± 0.024 0.058 ± 0.02 0.06 ± 0.02 0.072 ± 0.035 0.097 ± 0.042 0.094 ± 0.032 0.104 ± 0.031 0.101 ± 0.008
Atelectasis Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.068 ± 0.0 0.04 ± 0.013 0.044 ± 0.012 0.053 ± 0.01 0.051 ± 0.012 0.052 ± 0.009 0.055 ± 0.008 0.053 ± 0.008 0.055 ± 0.012 0.063 ± 0.008 0.065 ± 0.01 0.063 ± 0.002 GBM 0.043 ± 0.0 0.041 ± 0.002 0.042 ± 0.003 0.042 ± 0.005 0.044 ± 0.006 0.044 ± 0.005 0.046 ± 0.005 0.052 ± 0.008 0.047 ± 0.005 0.047 ± 0.006 0.045 ± 0.004 0.052 ± 0.004 Logistic Regression 0.045 ± 0.0 0.039 ± 0.005 0.043 ± 0.005 0.039 ± 0.005 0.042 ± 0.005 0.041 ± 0.005 0.041 ± 0.003 0.042 ± 0.002 0.045 ± 0.004 0.043 ± 0.004 0.042 ± 0.004 0.044 ± 0.002 Random Forest 0.041 ± 0.0 0.043 ± 0.004 0.042 ± 0.005 0.039 ± 0.003 0.043 ± 0.005 0.043 ± 0.003 0.048 ± 0.007 0.046 ± 0.004 0.043 ± 0.004 0.046 ± 0.003 0.044 ± 0.008 0.049 ± 0.005
Fracture Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.094 ± 0.0 0.031 ± 0.007 0.033 ± 0.007 0.032 ± 0.008 0.039 ± 0.011 0.047 ± 0.012 0.046 ± 0.012 0.054 ± 0.01 0.062 ± 0.011 0.058 ± 0.008 0.059 ± 0.012 0.066 ± 0.007 GBM 0.057 ± 0.0 0.031 ± 0.004 0.029 ± 0.003 0.033 ± 0.006 0.039 ± 0.012 0.043 ± 0.011 0.034 ± 0.008 0.046 ± 0.013 0.048 ± 0.014 0.043 ± 0.009 0.047 ± 0.007 0.062 ± 0.012 Logistic Regression 0.061 ± 0.0 0.054 ± 0.018 0.041 ± 0.019 0.033 ± 0.013 0.044 ± 0.019 0.033 ± 0.005 0.043 ± 0.009 0.045 ± 0.008 0.044 ± 0.004 0.048 ± 0.01 0.044 ± 0.007 0.05 ± 0.01 Random Forest 0.039 ± 0.0 0.03 ± 0.003 0.036 ± 0.006 0.042 ± 0.012 0.042 ± 0.012 0.038 ± 0.015 0.041 ± 0.012 0.036 ± 0.006 0.048 ± 0.012 0.046 ± 0.013 0.045 ± 0.012 0.052 ± 0.011
Pneumonia Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.056 ± 0.0 0.033 ± 0.003 0.037 ± 0.006 0.036 ± 0.007 0.035 ± 0.005 0.039 ± 0.006 0.037 ± 0.005 0.039 ± 0.006 0.04 ± 0.009 0.04 ± 0.006 0.04 ± 0.006 0.045 ± 0.003 GBM 0.042 ± 0.0 0.033 ± 0.001 0.033 ± 0.002 0.033 ± 0.003 0.035 ± 0.003 0.041 ± 0.004 0.039 ± 0.003 0.037 ± 0.002 0.037 ± 0.005 0.041 ± 0.005 0.039 ± 0.003 0.039 ± 0.004 Logistic Regression 0.044 ± 0.0 0.043 ± 0.005 0.043 ± 0.005 0.044 ± 0.004 0.047 ± 0.005 0.047 ± 0.004 0.04 ± 0.005 0.037 ± 0.004 0.041 ± 0.007 0.04 ± 0.004 0.035 ± 0.002 0.038 ± 0.005 Random Forest 0.038 ± 0.0 0.033 ± 0.003 0.036 ± 0.005 0.035 ± 0.003 0.038 ± 0.001 0.039 ± 0.006 0.036 ± 0.002 0.042 ± 0.004 0.038 ± 0.002 0.041 ± 0.003 0.04 ± 0.003 0.041 ± 0.004
Lung Lesion Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.321 ± 0.0 0.184 ± 0.033 0.187 ± 0.051 0.221 ± 0.038 0.216 ± 0.012 0.225 ± 0.02 0.235 ± 0.019 0.246 ± 0.005 0.258 ± 0.019 0.279 ± 0.024 0.288 ± 0.017 0.299 ± 0.018 GBM 0.278 ± 0.0 0.13 ± 0.013 0.132 ± 0.006 0.133 ± 0.007 0.142 ± 0.016 0.145 ± 0.008 0.156 ± 0.02 0.167 ± 0.009 0.175 ± 0.026 0.194 ± 0.024 0.203 ± 0.017 0.235 ± 0.014 Logistic Regression 0.262 ± 0.0 0.147 ± 0.026 0.146 ± 0.026 0.157 ± 0.031 0.156 ± 0.028 0.168 ± 0.025 0.178 ± 0.018 0.178 ± 0.019 0.179 ± 0.022 0.196 ± 0.024 0.21 ± 0.019 0.225 ± 0.037 Random Forest 0.305 ± 0.0 0.138 ± 0.01 0.135 ± 0.012 0.139 ± 0.013 0.143 ± 0.013 0.139 ± 0.011 0.15 ± 0.015 0.168 ± 0.012 0.182 ± 0.02 0.174 ± 0.014 0.209 ± 0.03 0.23 ± 0.024
No Finding Model All K 1 2 4 8 12 16 24 32 48 64 128 CLMBR 0.48 ± 0.0 0.386 ± 0.023 0.415 ± 0.033 0.419 ± 0.012 0.425 ± 0.015 0.425 ± 0.006 0.423 ± 0.01 0.432 ± 0.015 0.428 ± 0.012 0.446 ± 0.018 0.443 ± 0.014 0.445 ± 0.011 GBM 0.464 ± 0.0 0.395 ± 0.009 0.393 ± 0.009 0.398 ± 0.006 0.406 ± 0.013 0.398 ± 0.008 0.407 ± 0.014 0.408 ± 0.022 0.424 ± 0.014 0.422 ± 0.018 0.426 ± 0.013 0.424 ± 0.009 Logistic Regression 0.456 ± 0.0 0.387 ± 0.026 0.407 ± 0.03 0.405 ± 0.017 0.409 ± 0.015 0.422 ± 0.011 0.409 ± 0.013 0.422 ± 0.024 0.433 ± 0.031 0.435 ± 0.018 0.431 ± 0.015 0.441 ± 0.014 Random Forest 0.456 ± 0.0 0.387 ± 0.013 0.393 ± 0.016 0.393 ± 0.014 0.405 ± 0.02 0.413 ± 0.017 0.397 ± 0.011 0.41 ± 0.016 0.418 ± 0.015 0.417 ± 0.013 0.422 ± 0.008 0.443 ± 0.014
