Resources


Database Contributor Review

A multimodal dental dataset facilitating machine learning research and clinic services

Wenjing Liu, Yunyou Huang, Suqin Tang

A new dental dataset that contains 169 patients, three commonly used dental image models, and images of various health conditions of the oral cavity.

Published: Oct. 11, 2024. Version: 1.1.0

Database Credentialed Access

MIMIC-IV

Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Brian Gow, Benjamin Moody, Steven Horng, Leo Anthony Celi, Roger Mark

Large database of de-identified health information from patients admitted to Beth Israel Deaconess Medical Center

critical care intensive care unit machine learning mimic

Published: Oct. 11, 2024. Version: 3.1

Database Open Access

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

Li-wei Lehman, Benjamin Moody, Lucas McCullum, Hasan Saeed, Harsh Deep, Diane Perry, Tristan Struja, Qiao Li, Gari Clifford, Roger Mark

VTaC is an annotated ventricular tachycardia (VT) arrhythmia alarm database containing over 5,000 waveform recordings with VT alarms from ICU monitors, with each alarm labeled as either true or false by at least two human expert annotators.

arrhythmia machine learning icu false alarms benchmark dataset ventricular tachycardia

Published: Oct. 1, 2024. Version: 1.0

Visualize waveforms

Database Credentialed Access

Comprehensive Polysomnography (CPS) Dataset: A Resource for Sleep-Related Arousal Research

Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, Philipp Walter, Gjergji Kasneci

This dataset includes polysomnographic sleep recordings from a study on sleep-related arousal diagnostics, featuring raw and derived data channels, annotated event types, and questionnaire data.

polysomnography machine learning in healthcare sleep arousal diagnostics pulse wave analysis sleep disorders

Published: Sept. 18, 2024. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext-MDS-ED: Multimodal Decision Support in the Emergency Department - a Benchmark Dataset for Diagnoses and Deterioration Prediction in Emergency Medicine

Juan Miguel Lopez Alcaraz, Nils Strodthoff

MIMIC-IV-ext-MDS-ED proposes a dataset to benchmark multimodal decision support in the emergency department. It features multimodal input (including ECG waveforms) and a comprehensive set of prediction targets (diagnoses and deterioration prediction)

emergency department ecg benchmark diagnoses prediction deterioration prediction multimodal

Published: Sept. 12, 2024. Version: 1.0.0

Database Contributor Review

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

Niklas Rodemund, Andreas Kokoefer, Bernhard Wernly, Crispiana Cozowicz

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 Credentialed Access

MIMIC-IV-ECG-Ext-ICD: Diagnostic labels for MIMIC-IV-ECG

Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp

Dataset that links ECG records from MIMIC-IV-ECG to ED discharge and hospital discharge diagnoses, which enables to train general ECG prediction models based on clinical labels and facilitates the retrieval of further clinical metadata from MIMIC-IV.

machine learning electrocardiography mimic

Published: Aug. 30, 2024. Version: 1.0.1

Database Open Access

Image-derived cardiomegaly biomarker values for 96K chest X-rays in MIMIC-CXR/MIMIC-CXR-JPG

Benjamin Duvieusart, Felix Krones, Guy Parsons, Lionel Tarassenko, Bartlomiej W Papiez, Adam Mahdi

Automatically extracted cardiomegaly biomarkers - cardiothoracic ratio (CTR) and cardiopulmonary area ratio (CPAR) - for all posterior-anterior chest x-ray scans in MIMIC-CXR/MIMIC-CXR-JPG.

biomarkers mimic-cxr cpar ctr cardiomegaly

Published: Aug. 23, 2024. Version: 1.0.0

Database Restricted Access

Multimodal Physiological Indices During Surgery Under Anesthesia

Sandya Subramanian, Bryan Tseng, Riccardo Barbieri, Emery Brown

Multimodal physiological indices collected during surgery when patients were under anesthesia

anesthesia nociception

Published: Aug. 23, 2024. Version: 1.0

Database Open Access

Brno University of Technology Smartphone PPG Database (BUT PPG)

Andrea Nemcova, Radovan Smisek, Eniko Vargova, Lucie Maršánová, Martin Vitek, Lukas Smital, Marina Filipenska, Pavlina Sikorova, Pavel Gálík

BUT PPG is a database created for the purpose of evaluating PPG signal quality and estimation of heart rate. The data comprises 3,888 10s recordings of PPGs recorded by smartphone and associated ECG and ACC signals and annotations.

heart rate artificial intelligence ppg ecg acc signal quality assessment annotations accelerometric data photoplethysmography electrocardiogram

Published: Aug. 23, 2024. Version: 2.0.0