Resources

A subset of the MIMIC-III Clinical Database containing only patients admitted from 2001 - 2008.

The IIScFHSDB has 60 fetal phonocardiography recordings obtained in a hospital setting with the objective to provide fPCG recordings with clinical noise settings for development of signal processing algorithms for FHR determination and denoising fPCG

Text-based Longitudinal Data for Predicting Nosocomial Disease Risk as used by CANTRIP.

Physiologic and flight performance data from a virtual reality task. Data for the CogPilot Data Challenge.

A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients

A chest x-rays segmentation dataset derived from MIMIC-CXR based on deep learning algorithm and human examination.

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.

Type 2 diabetes increases risk for cerebrovascular disease, cognitive and mobility decline in older people. This project evaluated relationship between diabetes, inflammation cerebrovascular reactivity and functional outcomes.

Dataset of questions asked by medical experts about patients. Medical experts will read a discharge summary line-by-line and (1) ask any question that they may have and (2) record what in the text "triggered" them to ask their question.

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.