Resources


Database Credentialed Access

Paediatric Intensive Care database

Haomin Li, Xian Zeng, Gang Yu

PIC (Paediatric Intensive Care) is a large paediatric-specific, single-centre, bilingual database comprising information relating to children admitted to critical care units at a large children’s hospital in China.

natural language processing intensive care pediatrics critical care

Published: Dec. 1, 2019. 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.

natural language processing patient classification

Published: March 5, 2020. Version: 1.20.03

Database Restricted Access

Smartphone-Captured Chest X-Ray Photographs

Po-Chih Kuo, ChengChe Tsai, Diego M Lopez, Alexandros Karargyris, Tom Pollard, Alistair Johnson, Leo Anthony Celi

Smartphone-captured CXR images including photographs taken from MIMIC-CXR and CheXpert, photographs taken by resident doctors, and photographs taken with different devices.

smartphone photograph cxr

Published: Sept. 27, 2020. Version: 1.0.0

Database Open Access

BIDMC PPG and Respiration Dataset

ECG signals extracted from the MIMIC-II Matched Waveform Database, with manual breath annotations added by annotators using impedance respiratory signal.

multiparameter ecg photoplethysmogram

Published: June 20, 2018. Version: 1.0.0

Visualize waveforms

Challenge Open Access

Robust Detection of Heart Beats in Multimodal Data - The PhysioNet Computing in Cardiology Challenge 2014

This challenge aims to encourage the exploration of robust methods for locating heart beats in continuous long-term data from bedside monitors and similar devices that record not only ECG but usually other physiologic signals as well, including puls…

multiparameter challenge ecg

Published: Jan. 7, 2014. Version: 1.0.0

Challenge Open Access

Predicting Mortality of ICU Patients - The PhysioNet Computing in Cardiology Challenge 2012

The focus of the PhysioNet/CinC Challenge 2012 is to develop methods for patient-specific prediction of in-hospital mortality. Participants will use information collected during the first two days of an ICU stay to predict which patients survive the…

prediction mimic mortality challenge ehr

Published: Jan. 20, 2012. Version: 1.0.0

Challenge Open Access

Predicting Acute Hypotensive Episodes - The PhysioNet Computing in Cardiology Challenge 2009

This year's challenge is the tenth in the annual series of open challenges hosted by PhysioNet in cooperation with Computers in Cardiology. The goal of the challenge is to predict which patients in the challenge dataset will experience an acute …

mimic multiparameter challenge ehr hypertension

Published: Jan. 27, 2009. Version: 1.0.0

Software Open Access

record - An application for capturing data from an HP CMS (Merlin) monitor

record is an MS-DOS application that determines what signals and measurements are available from a Hewlett-Packard (Agilent/Philips) Merlin (a.k.a. CMS or Component Monitoring System) patient monitor, and then logs all of the available data to disk …

mimic monitor

Published: June 9, 2003. Version: 1.0.0

Database Credentialed Access

MedNLI - A Natural Language Inference Dataset For The Clinical Domain

Chaitanya Shivade

This is a resource for training machine learning models for language inference in the medical domain.

recognizing textual entailment natural language inference

Published: Oct. 1, 2019. Version: 1.0.0

Software Open Access

Cardiac Output Estimation from Arterial Blood Pressure Waveforms

This project contains the code used for a study that rigorously compares 11 estimates against thermodilution cardiac output (TCO) using 120 subjects from the MIMIC II database (all subjects for whom multiple TCO measurements were recorded at the tim…

cardiac output estimation

Published: Aug. 2, 2007. Version: 1.0.0