Resources


Database Open Access

Apnea-ECG Database

Seventy ECG signals with expert-labelled apnea annotations and machine-generated QRS annotations.

apnea sleep multiparameter challenge ecg

Published: Feb. 10, 2000. Version: 1.0.0

Visualize waveforms

Database Open Access

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

Li-wei Lehman, Benjamin Moody, Lucas McCullum, et al.

VTaC is an annotated ventricular tachycardia (VT) arrhythmia alarm database containing over 5,000 waveform recordings with VT alarms from ICU monitors, with each alarm labeled as either true or false by at least two human expert annotators.

arrhythmia ventricular tachycardia icu false alarms benchmark dataset machine learning

Published: Sept. 14, 2026. Version: 1.1

Visualize waveforms

Database Contributor Review

Medical Information Mart for Intensive Care Brazil (MIMIC-BR): a Brazilian Dataset of Anonymized Hospital and ICU Clinical Data

Gabriela Steil, Adhara Brandão Lima Vanhoz, Mateus de Lima Freitas, et al.

Medical Information Mart for Intensive Care Brazil (MIMIC-BR) is a Brazilian dataset of hospital and ICU adult patients anonymized data. It includes 31,789 admissions to the Einstein Hospital Israelita during a period of 3 years in the last 10 years

critical care dataset intensive care unit inpatients tertiary heatlhcare data anonymization artificial intelligence machine learning

Published: Aug. 9, 2026. Version: 1.0.1

Database Credentialed Access

Insulin4RL: Real-Time Insulin Infusions For Offline Reinforcement Learning

Thomas Frost, Steve Harris

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.

insulin intensive care semi-markov decision process diabetes blood glucose offline reinforcement learning machine learning

Published: June 15, 2026. Version: 1.0.0

Database Restricted Access

EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs

Pierre Elias, Joshua Finer

EchoNext is a curated dataset of electrocardiograms (ECGs) paired with echocardiogram-confirmed structural heart disease labels, designed to support the development and validation of machine learning models.

clinical decision support digital health structural heart disease electrocardiogram health equity ecg heart failure transthoracic echocardiogram ai model deployment valvular heart disease cardiovascular screening ai in healthcare left ventricular dysfunction population health aortic stenosis artificial intelligence machine learning deep learning

Published: April 30, 2026. Version: 1.1.1

Database Credentialed Access

Predictors of Hospital Onset Infection: A Matched Retrospective Cohort Dataset

Ziming Wei, Luke Sagers, Caroline McKenna, et al.

NPA-CP is a freely accessible dataset derived from electronic health record (EHR) information at MGB between 2015 and 2024. The dataset includes 11 different pathogens and can be used to predict hospital-onset infections for these pathogens.

infection control clinical machine learning infectious diseases hospital onset infection colonization pressure electronic health records

Published: Nov. 4, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext Triage Instruction Corpus

Qingyang Shen, Quan Guo

MIMIC-IV-Ext Triage Instruction Corpus includes 9,629 ED triage cases organized by the five-level ESI, enabling LLMs to improve triage accuracy. It provides CSV data, generation prompts, expert validation samples, and SQL QC scripts.

nlp clinical decision support emergency severity index emergency triage large language models machine learning

Published: March 4, 2025. Version: 1.0.0

Database Open Access

Synthetic Mention Corpora for Disease Entity Recognition and Normalization

Kuleen Sasse, John David Osborne

We present the Synthetic Mention Corpora for Disease Entity Recognition and Normalization, containing 128000 disease mentions from the UMLS disorder group, generated by an LLM. This corpus aims to improve these tasks in biomedical and clinical texts.

nlp data augmentation entity normalization named entity recognition machine learning

Published: Feb. 3, 2025. Version: 1.0.0

Database Open Access

CGMacros: a scientific dataset for personalized nutrition and diet monitoring

Ricardo Gutierrez-Osuna, David Kerr, Bobak Mortazavi, et al.

CGMacros contains information from two continuous glucose monitors (CGM), food macronutrients, food photographs, physical activity, and anonymized participant demographics, anthropometric measurements and health parameters.

continuous glucose monitors obesity postprandial glucose response food macronutrients metabolic models food photographs personalized nutrition diabetes machine learning

Published: Jan. 28, 2025. Version: 1.0.0

Database Contributor Review

COVID Data for Shared Learning (CDSL): A comprehensive, multimodal COVID-19 dataset from HM Hospitales

Álvaro Ritoré, Andreea M Oprescu, Alberto Estirado Bronchalo, et al.

COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified structured health data and radiological images from 4,479 patients with COVID-19, as a comprehensive toolkit for developing predictive models.

covid-19 multimodal database radiological images open data healthcare data machine learning and ai

Published: Oct. 25, 2024. Version: 1.0.0