Resources

MIMIC-III data converted into TensorFlow SequenceExample format, for use in modeling pipelines.

DrugEHRQA is a QA dataset containing question-answers from MIMIC-III tables and discharge summaries.

This is a dataset of continuous raw electrocardiogram (ECG) signals for representation learning containing 11 thousand patients and 2 billion labelled beats.

This is a resource for training machine learning models for language inference in the medical domain.

An open-access database recorded during the EPHNOGRAM project, consisting of simultaneous electrocardiogram (ECG) and phonocardiogram (PCG) recordings from young healthy adults, during stress-test experiments.

Features and labels from MIMIC-III and eICU-CRD produced by FIDDLE, an EHR preprocessing pipeline.

Freely accessible COVID-19 symptom dataset surveying Canadians and gathered from March to July of 2020 by the global humanitarian aid non-profit Flatten. This dataset of 294,106 surveys gathered from March 23rd to July 30th in 2020.

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.

Annotated Question Answering Pairs for Clinical Notes in the MIMIC-III Database

Dataset comprising hospital-level data on patients who were admitted with heart failure to Zigong Fourth People’s Hospital, Sichuan, China between 2016 and 2019