Resources

Openly available research dataset intended for offline reinforcement learning (ORL) using natively irregular healthcare data. The dataset is intended to encourage further research into ORL methods using naturally sporadic decision intervals.

Automatically extracted cardiomegaly biomarkers - cardiothoracic ratio (CTR) and cardiopulmonary area ratio (CPAR) - for all posterior-anterior chest x-ray scans in MIMIC-CXR/MIMIC-CXR-JPG.

Fine tune transformer-based neural networks to deidentify clinical text data.

This is a resource for training machine learning models for language inference in the medical domain.

This database provides a collection of myocardial perfusion scintigraphy images. The dataset encompasses a diversity of clinical cases, including various perfusion patterns and underlying cardiac conditions.