Augustino Hellar of Prime Health Initiative Tanzania will develop a machine learning algorithm for the early detection of high-risk pregnancies and integrate it into an existing mobile health application to help reduce maternal mortality in Tanzania. The existing application is being used by health care workers across 23,000 households in Tanzania’s Geita Region to track health during pregnancy and provide health education via SMS. They will build upon this application to develop a digital health platform called Mlinde Mama that includes an interactive graphical user interface for expectant mothers to record and access their own health data and communicate with other group members. The machine learning algorithm component will be designed to enable the early detection and stratification of pregnancy-related risk factors based on patient and clinical data and will refer high-risk patients to district health centers.
More information about Digital Health Services for Pregnant Women to Support Antenatal Risk Stratification in Sub-Saharan Africa