Resources

229 results for "clinical"

Database Credentialed Access

MIMIC-III-Ext-VeriFact-BHC: Labeled Propositions From Brief Hospital Course Summaries for Long-form Clinical Text Evaluation

Philip Chung, Akshay Swaminathan, Alex Goodell, et al.

The VeriFact-BHC dataset is designed to verify the factuality of long-form text written about a patient against their own electronic health record. There is increasing interest in using large language models (LLMs) to generate clinical text in patie…
Published: Aug. 27, 2026. Version: 1.1.0
Database Credentialed Access

SCRIPT CarpeDiem Dataset: demographics, outcomes, and per-day clinical parameters for critically ill patients with suspected pneumonia

Nikolay Markov, Catherine A Gao, Thomas Stoeger, et al.

Traditional approaches to analyzing episodes of patient care in the ICU examine features on presentation and outcomes on discharge, collapsing the numerous events that happen during a patient’s stay and ignoring intercurrent ICU complications or int…
Published: Aug. 13, 2026. Version: 1.9.1
Database Credentialed Access

MIMIC-IV-Note: Deidentified free-text clinical notes

Alistair Johnson, Tom Pollard, Steven Horng, et al.

The advent of large, open access text databases has driven advances in state-of-the-art model performance in natural language processing (NLP). The relatively limited amount of clinical data available for NLP has been cited as a significant barrier …
Published: Jan. 6, 2023. Version: 2.2
Database Contributor Review

BRATECA (Brazilian Tertiary Care Dataset): a Clinical Information Dataset for the Portuguese Language

Henrique Dias, Ana Helena Dias Pereira dos Ulbrich

Computational medicine research requires clinical data for training and testing purposes, so the development of datasets composed of real hospital data is of utmost importance in this field. Most such data collections are in the English language, we…
Published: July 14, 2022. Version: 1.1
Database Credentialed Access

Annotated Question-Answer Pairs for Clinical Notes in the MIMIC-III Database

Xiang Yue, Xinliang Frederick Zhang, Huan Sun

Clinical question answering (QA) (or reading comprehension) aims to automatically answer questions from medical professionals based on clinical texts. We release this dataset, which contains 1287 annotated QA pairs on 36 sampled discharge summaries …
Published: Jan. 15, 2021. Version: 1.0.0
Challenge Credentialed Access

ShAReCLEF eHealth 2013: Natural Language Processing and Information Retrieval for Clinical Care

Danielle Mowery

This is the pilot year of the ShARe/CLEF eHealth Evaluation Lab, a shared task focused on natural language processing (NLP) and information retrieval (IR) for clinical care. The task is co-organized by the Shared Annotated Resources (ShARe) project …
Published: Feb. 15, 2013. Version: 1.0
Database Credentialed Access

MIMIC-III-Ext-MIMIC-Patient: Structured Per-Patient JSON Records for Clinical Question Answering

Tianqi Shang, Weiqing He, Charles Zheng, et al.

This project provides MIMIC-Patient, a structured, per-patient representation of the MIMIC-III database designed for large language model (LLM)–based clinical question answering. For each of 500 admissions, we reconstruct the patient’s episode into …
Published: Sept. 11, 2026. Version: 1.0.0
Database Contributor Review

ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room

Mel Molina, Nikita Mehandru, Niloufar Golchini, et al.

The ER-Reason dataset is a benchmark designed to evaluate LLM-based clinical reasoning and decision-making in the emergency room (ER), a high-stakes setting where clinicians make rapid, consequential decisions across diverse patient presentations an…
Published: Oct. 23, 2025. Version: 1.0.0
Database Credentialed Access

MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp

Jing Wang, Xing Niu, Tong Zhang, et al.

Clinical risk prediction based on machine learning algorithms plays a vital role in modern healthcare. A crucial component in developing a reliable prediction model is a high-quality dataset with time series clinical events. In this work, we release…
Published: Sept. 29, 2025. Version: 1.0.0
Database Credentialed Access

C-REACT: Contextualized Race and Ethnicity Annotations for Clinical Text

Oliver Bear Don't Walk IV, Adrienne Pichon, Harry Reyes Nieva, et al.

The Contextualized Race and Ethnicity Annotations for Clinical Text (C-REACT) dataset is a large publicly available corpus of sentences from clinical notes manually annotated for information related to race and ethnicity (RE). The corpus presented h…
Published: Oct. 21, 2024. Version: 1.0.0