Resources


Challenge Credentialed Access

ShAReCLEF eHealth Evaluation Lab 2014 (Task 2): Disorder Attributes in Clinical Reports

Danielle Mowery

The ShARe/CLEF eHealth 2014 Challenge (Task 2) on Disorder Attributes in Clinical Reports

Published: Nov. 1, 2013. Version: 1.0


Database Restricted Access

Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19

Jose Tamez-Peña, Adam Yala, Servando Cardona, Rocio Ortiz-Lopez, Victor Trevino

Thermal videos of people with positive and negative COVID-19 tests.

thermal videos sars-cov-2 clinical symptoms covid-19

Published: Aug. 16, 2021. Version: 1.1


Database Credentialed Access

MIMIC-III Clinical Database

Alistair Johnson, Tom Pollard, Roger Mark

MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over forty thousand patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. The databas…

clinical intensive care critical care natural language processing machine learning

Published: Sept. 4, 2016. Version: 1.4


Database Credentialed Access

Symile-MIMIC: a multimodal clinical dataset of chest X-rays, electrocardiograms, and blood labs from MIMIC-IV

Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, Rajesh Ranganath

A multimodal clinical dataset consisting of CXRs, ECGs, and blood labs, designed to evaluate Symile, a simple contrastive loss that accommodates any number of modalities and allows any model to produce representations for each modality.

database cxr ecg contrastive learning model multimodal chest x-ray mimic electrocardiogram

Published: Jan. 28, 2025. Version: 1.0.0


Database Credentialed Access

RadCoref: Fine-tuning coreference resolution for different styles of clinical narratives

Yuxiang Liao, Hantao Liu, Irena Spasic

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.

natural language processing coreference resolution radiology

Published: Jan. 30, 2024. Version: 1.0.0


Database Open Access

MIMIC-IV Clinical Database Demo

Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Anthony Celi, Roger Mark

An openly available subset of patients in the MIMIC-IV database.

critical care electronic health record mimic

Published: Jan. 31, 2023. Version: 2.2


Database Restricted Access

Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19

Jose Tamez-Peña, Adam Yala, Servando Cardona, Rocio Ortiz-Lopez, Victor Trevino

Thermal videos of people with positive and negative COVID-19 tests.

thermal videos sars-cov-2 clinical symptoms covid-19

Published: Aug. 16, 2021. Version: 1.1


Database Credentialed Access

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven QH Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Matthew Lungren, Andrew Ng, Curtis Langlotz, Pranav Rajpurkar

RadGraph is a dataset of entities and relations in full-text chest X-ray radiology reports, which are obtained using a novel information extraction (IE) schema to capture clinically relevant information in a radiology report.

entity and relation extraction graph multi-modal natural language processing radiology

Published: June 3, 2021. Version: 1.0.0


Database Open Access

Clinical data from the MIMIC-II database for a case study on indwelling arterial catheters

Jesse Raffa

Dataset extracted from MIMIC-II for a tutorial on effectiveness of indwelling arterial catheters in hemodynamically stable patients with respiratory failure for mortality outcomes.

Published: Oct. 28, 2016. Version: 1.0


Database Credentialed Access

MIMIC-III Clinical Database

Alistair Johnson, Tom Pollard, Roger Mark

MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over forty thousand patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. The databas…

clinical intensive care critical care natural language processing machine learning

Published: Sept. 4, 2016. Version: 1.4