Resources


Database Credentialed Access

Maternal fat ultrasound measurement and nutritional assessment during pregnancy: A dataset centered in gestational outcomes

Alexandre da Silva Rocha, Juliana Rombaldi Bernardi, Alice Schoffel, Daniela Kretzer, Salete Matos, José Antônio Magalhães, Marcelo Goldani

Dataset collected as part of a prospective study in which abdominal maternal fat tissue measurements were compared with outcomes during hospitalization for labor and delivery.

pregnancy ultrasound abdominal

Published: Dec. 4, 2020. Version: 1.0.0

Database Restricted Access

Kinematic dataset of actors expressing emotions

Mingming Zhang, Lu Yu, Keye Zhang, Bixuan Du, Bin Zhan, Shaohua Chen, Xiuhao Jiang, Shuai Guo, Jiafeng Zhao, Yang Wang, Bin Wang, Shenglan Liu, Wenbo Luo

1402 kinematic recordings of twenty-two semi-professional actors expressing emotions such as happiness, sadness, anger, fear, disgust, and surprise.

body movement emotion motion capture kinematic data

Published: July 7, 2020. Version: 2.1.0

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 icu false alarms benchmark dataset ventricular tachycardia machine learning

Published: Oct. 1, 2024. Version: 1.0

Visualize waveforms

Database Credentialed Access

Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project

Nicholas Kuo, Simon Finfer, Louisa Jorm, Sebastiano Barbieri

This repository hosts the original Health Gym datasets of Acute Hypotension and Sepsis

sepsis acute hypotension synthetic dataset generative modelling wasserstein generative adversarial network reinforcement learning machine learning

Published: Feb. 23, 2022. Version: 1.0.0

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 icu false alarms benchmark dataset ventricular tachycardia machine learning

Published: Oct. 1, 2024. Version: 1.0

Visualize waveforms

Database Restricted Access

DREAMT: Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology

Ke Wang, Jiamu Yang, Ayush Shetty, Jessilyn Dunn

Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology

biomedical time series classification wearable sleep disorders

Published: Sept. 13, 2024. Version: 1.0.1

Database Credentialed Access

EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

Yeonsu Kwon, Jiho Kim, Gyubok Lee, Seongsu Bae, Daeun Kyung, Wonchul Cha, Tom Pollard, Alistair Johnson, Edward Choi

Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

Published: Aug. 19, 2024. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext Clinical Decision Making: A MIMIC-IV Derived Dataset for Evaluation of Large Language Models on the Task of Clinical Decision Making for Abdominal Pathologies

Paul Hager, Friederike Jungmann, Daniel Rueckert

A curated set of ED clinical decision making cases for four abdominal pathologies. Each case contains the exams required to diagnose including HPI, physical examination, laboratory tests, and imaging. Relevant treatment information is also included.

clinical decision making abdominal pathologies large language models treatment plan emergency room diagnosis

Published: July 8, 2024. Version: 1.1

Database Restricted Access

CheXchoNet: A Chest Radiograph Dataset with Gold Standard Echocardiography Labels

Pierre Elias, Shreyas Bhave

Early detection of heart failure is vital for improving outcomes. The dataset contains 71,589 CXRs paired with gold standard labels from echocardiograms to enable the training of models to detect pathologies indicative of early stage heart failure.

heart failure chest x-rays early detection cardiac structural abnormalties deep learning

Published: March 20, 2024. Version: 1.0.0

Database Open Access

Respiratory dataset from PEEP study with expiratory occlusion

Ella Frances Sophia Guy, Jaimey Anne Clifton, Trudy Caljé-van der Klei, Rongqing Chen, Jennifer Knopp, Knut Moeller, James Geoffrey Chase

Outlined is a pressure, flow, volume, dynamic circumference, and EIT assessed aeration dataset from resting breathing with REO at increasing CPAP PEEP settings. Vapers, asthmatics, smokers, and otherwise healthy people were included in the trial.

Published: Nov. 10, 2023. Version: 1.0.0