Resources

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

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

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.

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

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

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.

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

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

PIC (Paediatric Intensive Care) is a large paediatric-specific, single-centre, bilingual database comprising information relating to children admitted to critical care units at a large children’s hospital in China.