Resources


Challenge Open Access

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022

Matthew Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez Alday, Nadi Sadr, Sandra Mattos, Miguel Coimbra, Reza Sameni, Ali Bahrami Rad, Zuzana Koscova, Gari Clifford

2022 Physionet Challenge is devoted to detecting the presence or absence of murmurs from multiple heart sound recordings from multiple auscultation locations, as well as detecting the clinical outcomes.

challenge competition cardiac auscultation congenital heart diseases

Published: Sept. 28, 2023. Version: 1.0.0

Challenge Credentialed Access

MIT Critical Datathon 2023: a MIMIC-IV Derived Dataset for Pulse Oximetry Correction Models

João Matos, Tristan Struja, David S Restrepo, Luis Filipe Nakayama, Jack Gallifant, Luca Weishaupt, Nikita Mullangi, Maria Loureiro, Skyler Shapiro, Adrien Carrel, Leo Anthony Celi

A SaO2-SpO2 Pairs Dataset derived from MIMIC-IV

pulse oximetry health equity machine learning

Published: May 8, 2023. Version: 1.0.0

Database Open Access

Cerebral perfusion and cognitive decline in type 2 diabetes

Vera Novak, Rodrigo Quispe, Charles Saunders

Dataset collected during a study on type 2 diabetes on brain blood flow, vasoreactivity and functional outcomes (gait and balance) using TCD, MRI perfusion and foot pressure distribution and gait measures.

vasoregulation brain diabetes

Published: Aug. 5, 2022. Version: 1.0.1

Visualize waveforms

Challenge Open Access

Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020

Erick Andres Perez Alday, Annie Gu, Amit Shah, Chengyu Liu, Ashish Sharma, Salman Seyedi, Ali Bahrami Rad, Matthew Reyna, Gari Clifford

The goal of the 2020 PhysioNet - Computing in Cardiology Challenge is to design and implement a working, open-source algorithm that can automatically identify cardiac abnormalities in 12-lead ECG recordings.

Published: July 29, 2022. Version: 1.0.2

Visualize waveforms

Database Credentialed Access

GOSSIS-1-eICU, the eICU-CRD subset of the Global Open Source Severity of Illness Score (GOSSIS-1) dataset

Jesse Raffa, Alistair Johnson, Tom Pollard, Omar Badawi

GOSSIS-1 is an in-hospital mortality prediction algorithm for critical care patients. GOSSIS-1 was trained using data from three countries. This dataset corresponds with the USA subset of the GOSSIS-1 dataset for the 2022 publication below.

icu critical care severity of illness global gossis apache mortality prediction benchmarking

Published: July 20, 2022. Version: 1.0.0

Database Restricted Access

Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data

Zhongheng Zhang, Linghong Cao, Yan Zhao, Ziyin Xu, Rangui Chen, Lukai Lv, Ping Xu

The new version added beta blockers in the dat_md.csv file. Dataset comprising hospital-level data on patients who were admitted with heart failure to Zigong Fourth People’s Hospital, Sichuan, China between 2016 and 2019.

china heart failure electronic health record

Published: May 22, 2022. Version: 1.3

Database Credentialed Access

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

Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Danai Koutra, Michael Sjoding, Jenna Wiens

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 Credentialed Access

MIMIC-III - SequenceExamples for TensorFlow modeling

Jonas Kemp, Kun Zhang, Andrew Dai

MIMIC-III data converted into TensorFlow SequenceExample format, for use in modeling pipelines.

tensorflow sequence modeling machine learning deep learning

Published: Sept. 29, 2020. Version: 1.0.0

Model Credentialed Access

What's in a Note? Unpacking Predictive Value in Clinical Note Representations

Tristan Naumann, William Boag

Word vectors corresponding to the AMIA 2018 Informatics Summit paper of the same name.

Published: Jan. 7, 2018. Version: 0.1

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