Resources


Database Open Access

NInFEA: Non-Invasive Multimodal Foetal ECG-Doppler Dataset for Antenatal Cardiology Research

Danilo Pani, Eleonora Sulas, Monica Urru, et al.

Open dataset featuring non-invasive electrophysiological recordings, fetal pulsed-wave Doppler and maternal respiration signals. It provides a ground truth on the fetal heart activity when an invasive scalp lead is unavailable.

foetus pwd doppler foetal ecg maternal ecg pwd envelope non-invasive cardiology early pregnancy antenatal fecg ecg

Published: Nov. 12, 2020. Version: 1.0.0

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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.

intensive care pediatrics critical care natural language processing

Published: Nov. 12, 2020. Version: 1.1.0

Database Credentialed Access

AMR-UTI: Antimicrobial Resistance in Urinary Tract Infections

Michael Oberst, Soorajnath Boominathan, Helen Zhou, et al.

AMR-UTI is a freely accessible dataset, derived from electronic health record (EHR) information on over 100,000 urinary tract infections (UTI) treated at Massachusetts General Hospital and Brigham & Women's Hospital in Boston, MA, USA.

antibiotic resistance causal inference policy learning urinary tract infection antimicrobial resistance clinical decision support machine learning

Published: Nov. 4, 2020. Version: 1.0.0

Database Restricted Access

Gout Emergency Department Chief Complaint Corpora

John David Osborne, Tobias O'Leary, Amy Mudano, et al.

A corpus of chief complaints tagged with predicted gout flare status and chart reviewed gout flare status. Ideal for input to masked language model training to supplement lengthy clinical text notes.

gout emergency department nlp

Published: Oct. 19, 2020. Version: 1.0

Database Open Access

MICRO Motion capture data from groups of participants standing still to auditory stimuli (2012)

Victor Gonzalez, Agata Zelechowska, Alexander Refsum Jensenius

How and why does music make us move? This dataset was collected as part of a project to investigate how music influences small magnitude motion observed when people try to stand still.

sound music movement

Published: Oct. 5, 2020. Version: 1.0

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

Database Restricted Access

Smartphone-Captured Chest X-Ray Photographs

Po-Chih Kuo, ChengChe Tsai, Diego M Lopez, et al.

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 Credentialed Access

Eye Gaze Data for Chest X-rays

Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, et al.

This dataset was a collected using an eye tracking system while a radiologist interpreted and read 1,083 public CXR images. The dataset contains the following aligned modalities: image, transcribed report text, dictation audio and eye gaze data.

convolutional network heatmap eye tracking explainability audio chest cxr machine learning chest x-ray radiology multimodal deep learning

Published: Sept. 12, 2020. Version: 1.0.0

Software Open Access

R-DECO: An open-source Matlab based graphical user interface for the detection and correction of R-peaks

Jonathan Moeyersons, Matthew Amoni, Sabine Van Huffel, et al.

An open-source Matlab based graphical user interface for the detection and correction of R-peaks.

algorithms and analysis of algorithms signal processiong visual analysis graphical user interface

Published: Sept. 8, 2020. Version: 1.0.0

Database Open Access

Siena Scalp EEG Database

Paolo Detti

The database consists of EEG recordings of 14 epileptic patients acquired at the Unit of Neurology and Neurophysiology of the University of Siena. Subjects include 9 males (ages 25-71) and 5 females (ages 20-58).

Published: Aug. 11, 2020. Version: 1.0.0

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