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WiDS Datathon 2020: Predicting Patient Survival in Intensive Care Units (ICU)’s

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The WiDS Datathon 2020 challenge created models that predict patient survival. MIT’s GOSSIS community initiative, with privacy certification from the Harvard Privacy Lab, provided a dataset of more than 130,000 hospital Intensive Care Unit (ICU) visits from patients. This data was part of a growing global effort and consortium spanning Argentina, Australia, New Zealand, Sri Lanka, Brazil, and more than 200 hospitals in the United States.


WiDS Datathon 2020

TOPICS: Data Generation/Collection , Data Wrangling

UPDATED VIDEO: WiDS Datathon 2020 Webinar: Lessons Learned + Best Practices with Health Data

TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Values