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System for Identification, Monitoring and Forecasting of Maternal Near-Miss Cases

The purpose of this proposal is to develop a system for the identification, monitoring and forecasting of maternal near-miss cases. The project will seek to create a classifier that identifies near-miss cases based on historical data and a predictive model to infer the number of annual near misses in a region. In addition, it will also update near-miss historical number data to forecast the annual number by location.

More information about Grand Challenges Explorations – Brazil: Data Science Approaches to Improve Maternal and Child Health, Women's Health and Children's Health in Brazil

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View the Grand Challenges partnership network

The Bill & Melinda Gates Foundation is part of the Grand Challenges partnership network. Visit grandchallenges.org to view the map of awarded grants across this network and grant opportunities from partners.