Resources


Challenge Restricted Access

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction

Meredith Lee, Jesse Raffa, Marzyeh Ghassemi, et al.

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction focuses on patient health. Join a team, explore the data, and share your insights: http://bit.ly/WiDSdatathon2020

mortality risk data science kaggle icu challenge predictive analytics women in data science

Published: Jan. 22, 2020. Version: 1.0.0

Database Credentialed Access

MIMIC-III and eICU-CRD: Feature Representation by FIDDLE Preprocessing

Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, et al.

Features and labels from MIMIC-III and eICU-CRD produced by FIDDLE, an EHR preprocessing pipeline.

preprocessing electronic health record machine learning

Published: April 28, 2021. Version: 1.0.0

Database Open Access

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation

Kenta Tsutsui, Shany Biton Brimer, Joachim Behar

Holter ECG database from Japan, containing data from 100 unique patients with paroxysmal AF including expert annotations of Supraventricular arrhythmias at the beat level.

atrial fibrillation ecg holters

Published: April 16, 2025. Version: 1.0.1

Database Open Access

MIMIC-IV-ED Demo

Alistair Johnson, Lucas Bulgarelli, Tom Pollard, et al.

An openly available subset of the MIMIC-IV-ED database

emergency department mimic

Published: Feb. 8, 2023. Version: 2.2

Database Contributor Review

Salzburg Intensive Care database (SICdb), a freely accessible intensive care database

Niklas Rodemund, Andreas Kokoefer, Bernhard Wernly, et al.

The SICdb dataset, version 1.0.8 contains 27350 admissions to an ICU in an Austrian tertiary care institution.

clinical intensive care critical care machine learning open data

Published: Sept. 10, 2024. Version: 1.0.8

Database Open Access

Patient-level dataset to study the effect of COVID-19 in people with Multiple Sclerosis

Hamza Khan, Lotte Geys, peer baneke, et al.

This dataset is part of the Global Data Sharing Initiative. The data was acquired by people with MS and clinicians using a fast data entry tool. The dataset includes demographics, comorbidities and hospital stay and COVID-19 symptoms of PwMS.

Published: Jan. 2, 2024. Version: 1.0.1

Database Open Access

eICU Collaborative Research Database Demo

Alistair Johnson, Tom Pollard, Omar Badawi, et al.

An openly available subset of the eICU Collaborative Research Database.

eicu medical informatics critical care open data

Published: May 6, 2021. Version: 2.0.1

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

Database Credentialed Access

Critical care database comprising patients with infection at Zigong Fourth People's Hospital

Ping Xu, Lin Chen, Zhongheng Zhang

Routinely collected data from critical care units at Zigong Fourth People’s Hospital, Sichuan, China for patients admitted between January 2019 and December 2020 Missing information on temperature are updated in the new version.

Published: June 30, 2022. Version: 1.1

Model Credentialed Access

Me-LLaMA: Foundation Large Language Models for Medical Applications

Qianqian Xie, Qingyu Chen, Aokun Chen, et al.

Me-LLaMA is a family of large language models for medical applications trained using clinical text with LLaMA2 models as the base. We release model weights for the foundation models as well as the chat-enhanced models.

large language models

Published: June 5, 2024. Version: 1.0.0