Resources

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.

Measurements of physical activity with wrist-worn Bosch sensor platform to test predictive performance for the duration of hospitalization and readmission in 58 patients with acute illnesses in internal medicine

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.

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.

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.

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.

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.

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

Smartphone-captured CXR images including photographs taken from MIMIC-CXR and CheXpert, photographs taken by resident doctors, and photographs taken with different devices.

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.