Resources

A clinician-labeled dataset for fact-checking long-form clinical text against patient EHRs. The dataset contains LLM-written and human-written Brief Hospital Course summaries decomposed to atomic claim and sentence propositions with annotations.

This dataset presents a collection of preprocessed and labeled clinical notes derived from "MIMIC-IV-Note", and aims to facilitate the development of ML models focused on summarizing brief hospital courses (BHC) from clinical notes.

CXRGraph is a structured radiology report dataset built upon RadGraph and tailored for the Automatic Radiology Report Generation task. It can identify more task-relevant information such as abnormalities and hallucinated prior references.

Annotations of ten types of medical decisions from discharge summaries in the MIMIC-III database.

Medical oncology progress notes annotated with advanced, comprehensive oncology-relevant concepts and relationships.

RadCoref is a small subset of MIMIC-CXR with manually annotated coreference mentions and clusters. Based on the annotated data, we fine-tuned a deep neural model and used it to annotate the whole MIMIC-CXR dataset. Both data are available.

Annotation dataset of social determinants of health from MIMC-III Clinical Care Database notes.

This is the data storage for BioNLP Workshop Shared Task 1A: Problem List Summarization.

A suite of classifiers for detecting three types of stigmatizing language in electronic medical records. Trained on MIMIC-IV discharge notes.

Text-based Longitudinal Data for Predicting Nosocomial Disease Risk as used by CANTRIP.