Resources

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

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.

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.

Brazilian clinical dataset containing over 70,000 admissions from 10 hospitals in two Brazilian states.

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.