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.
Grant ID
445893/2020-6
Show on Hub
On
Show on Spoke
On
Follow-on Funding
Off
Lead Funding Organization
Initiatives
Principal Investigator
Award Manager
Individual Funder Information
Funding Amount (in original currency)
32800.00
Funding Currency
BRL
Exchange Rate (at time of payment)
0.2392900000
Funding Amount (in USD)
7849.00
Project Type
Project Primary Sector
Funding Date Range
-
Funding Total (In US dollars)
7848.71
Co-Funded
True