Resources

GLOBEM datasets contain the first released multi-year mobile and wearable sensing datasets from 2018 to 2021, containing 705 person-years and 497 unique participants.

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

The design and development of ICEHG DS was funded by the Slovenian Research Agency (ARRS) under the research project Metabolic and inborn factors of reproductive health, birth III.

CXLSeg dataset: Chest X-ray with Lung Segmentation, a comparatively large dataset of segmented Chest X-ray radiographs based on the MIMIC-CXR dataset. This contains segmentation results of 243,324 frontal view images and corresponding masks.

The PTB-XL ECG dataset is a large dataset of 21801 clinical 12-lead ECGs from 18869 patients of 10 second length. The raw signal data has been annotated by up to two cardiologists with 71 different ECG statements and is supplemented by rich metadata.

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

The Chest ImaGenome dataset is a scene graph dataset with additional chronological comparison relations for chest X-rays. It is automatically derived from the MIMIC-CXR dataset. A manually annotated gold standard is also available for 500 patients.

A public dataset that contains information related to surgery, anesthesia, laboratory results, medications, diagnosis, and outcomes from 50% of the patients who received surgery at Seoul National University Hospital between 2011 and 2020.

This is the first Brazilian Multilabel Ophthalmological Dataset with demographic information and retinal photos labeled images according to anatomical parameters, quality control, and presumed diagnosis.

A public dataset that contains information related to surgery, anesthesia, laboratory results, medications, diagnosis, and outcomes from 50% of the patients who received surgery at Seoul National University Hospital between 2011 and 2020.