1. Electrical Medical Records Datasets
During the datathon, teams will have access to 3 de-identified EMR datasets. Teams may choose to use one or all of these datasets to answer their clinical questions. In particular, these three datasets are: 1) the Medical Information Mart for Intensive Care (MIMIC) Database from Physionet 2) the Philips eICU Collaborative Research Database (https://eicu-crd.mit.edu/ 3) the NUHS Department of Surgery EMR database. These three databases share similar data schemas. They contain hourly physiologic readings from bedside monitors, validated by ICU nurses. They also contain records of demographics, labs, nursing progress notes, discharge summaries, IV medications, fluid balance, and other clinical variables.
Introduction & Documentation: https://mimic.physionet.org/about/mimic/
Github repository: https://github.com/MIT-LCP/mimic-code
Data extraction tutorial: https://github.com/MIT-LCP/mimic-code/blob/master/tutorials/cohort-selection.ipynb
Introduction & Documentation: https://eicu-crd.mit.edu/about/eicu/
Github repository: https://github.com/mit-eicu/eicu-code
2. Medical Imaging Datasets