EHRSHOT Leaderboard
Benchmarking EHR foundation models across 15 clinical prediction tasks
Models
- 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. Download here.
- MOTOR-T-base
- The foundation model released in the MOTOR paper with frozen weights and a task-specific logistic regression head. Download here.