Resources


Database Credentialed Access

EchoNotes Structured Database derived from MIMIC-III (ECHO-NOTE2NUM)

Gloria Hyunjung Kwak, Dana Moukheiber, Mira Moukheiber, Lama Moukheiber, Sulaiman Moukheiber, Neel Butala, Leo Anthony Celi, Christina Chen

A structured echocardiogram database derived from 43,472 observational notes obtained during echocardiogram studies conducted in the intensive care unit at the Beth Israel Deaconess Medical Center between 2001 and 2012.

Published: Feb. 23, 2024. Version: 1.0.0

Database Credentialed Access

Phenotype Annotations for Patient Notes in the MIMIC-III Database

Edward Moseley, Leo Anthony Celi, Joy Wu, Franck Dernoncourt

Clinical notes, annotated by at least two expert annotators for over ten patient phenotypes, including advanced cancer, substance abuse, and treatment non-adherence.

patient classification natural language processing

Published: March 5, 2020. Version: 1.20.03

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

Challenge Open Access

Reducing False Arrhythmia Alarms in the ICU: The PhysioNet/Computing in Cardiology Challenge 2015

The 2015 PhysioNet/CinC Challenge aims to encourage the development of algorithms to reduce the incidence of false alarms in the Intensive Care Unit (ICU).

false alarm multiparameter icu challenge arrhythmia critical care tachycardia

Published: Feb. 15, 2015. Version: 1.0.0

Database Credentialed Access

BOLD, a blood-gas and oximetry linked dataset

João Matos, Tristan Struja, Jack Gallifant, Luis Filipe Nakayama, Marie Charpignon, Xiaoli Liu, Jaime dos Santos Cardoso, Leo Anthony Celi, An Kwok Wong

An open-source pulse oximetry and arterial blood gas dataset, derived from MIMIC-III, MIMIC-IV, and eICU-CRD

health equity pulse oximetry intensive care unit electronic health records

Published: Nov. 8, 2023. Version: 1.0

Database Credentialed Access

Northwestern ICU (NWICU) database

Dana Moukheiber, William Temps, Bhadrappa Molgi, Yikuan Li, Alice Lu, Prasanth Nannapaneni, Abdulrahman Chahin, Sicheng Hao, Felipe Torres Fabregas, Leo Anthony Celi, Adrian Wong, Maxwell Lloyd, Xavier Borrat Frigola, Hyung-Chul Lee, Daniel Schneider, Tom Pollard, Yuan Luo, Abel Kho, Roger Mark

A freely available COVID-rich ICU database comprising de-identified health-related data from Northwestern Memorial Health Center (NHMC).

Published: Nov. 19, 2024. Version: 0.1.0

Database Open Access

I-CARE: International Cardiac Arrest REsearch consortium Database

Edilberto Amorim, Wei-Long Zheng, Jong Woo Lee, Susan Herman, Mohammad Ghassemi, Adithya Sivaraju, Nicolas Gaspard, Jeannette Hofmeijer, Michel J A M van Putten, Matthew Reyna, Gari Clifford, Brandon Westover

The clinical and EEG data for this dataset originates from seven academic hospitals in the U.S. and Europe led by investigators part of the International Cardiac Arrest REsearch consortium (I-CARE).

Published: Dec. 14, 2023. Version: 2.1

Visualize waveforms

Database Credentialed Access

MIMIC-II Clinical Database

Mohammed Saeed, Mauricio Villarroel, Andrew Reisner, Gari Clifford, Li-wei Lehman, George Moody, Thomas Heldt, Tin Kyaw, Benjamin Moody, Roger Mark

Electronic health record data collected from >30,000 patients admitted to ICUs at a single tertiary care hospital.

ehr icu mimic-ii bidmc

Published: April 24, 2011. Version: 2.6.0

Database Credentialed Access

MIMIC-IV on FHIR

Alex Bennett, Joshua Wiedekopf, Hannes Ulrich, Philip van Damme, Piotr Szul, John Grimes, Alistair Johnson

MIMIC-IV and MIMIC-IV-ED data mapped into FHIR resources.

mimic-iv fhir electronic health record us core mimic fast healthcare interoperability resources

Published: Nov. 12, 2024. Version: 2.1

Model Credentialed Access

Shareable Artificial Intelligence to Extract Cancer Outcomes from Electronic Health Records for Precision Oncology Research

Kenneth Kehl, Pavel Trukhanov, Christopher Fong, Justin Jee, Karl Pichotta, Morgan Paul, Chelsea Nichols, Michele Waters, Nikolaus Schultz, Deborah Schrag

The DFCI-imaging-student and DFCI-medonc-student AI models for extracting cancer outcomes from imaging reports and medical oncologist notes from electronic health records.

Published: Oct. 24, 2024. Version: 1.0.0