Resources

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

Code for generating the HAIM multimodal dataset of MIMIC-IV clinical data and x-rays

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.

Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021

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.

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.

Brazilian clinical dataset containing over 70,000 admissions from 10 hospitals in two Brazilian states.