2021 WiDS Cambridge

Datathon

held over two Saturdays

February 20 & 27 

10:00am - 3:00pm EST

The 2021 WiDS Cambridge Datathon, part of the global WiDS Conference Datathon, will be spearheaded by Weiwei Pan, IACS Research Associate and Lecturer at Harvard University.

 

Topic: Patient Health

 

This year's challenge is to create a model that uses data from the first 24 hours of intensive care to predict patient survival. MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative, with privacy certification from the Harvard Privacy Lab, has provided a dataset of more than 130,000 hospital Intensive Care Unit (ICU) visits from patients, spanning a one-year timeframe.

 

The WiDS Datathon is a collaboration led by the Global WiDS team at Stanford University, the West Big Data Innovation Hub, and the WIDS Datathon committee.