Implementor perspectives and lessons learned from machine learning model development in India

Jhpiego leads a project on Antenatal Risk Stratification and the development of an Intelligent Continuum of Care platform in India. The project team developed five innovative AI and ML algorithms which aim to predict adverse maternal and neonatal outcomes. As the continuum database expands, the team hopes to be able to layer the antenatal and intrapartum risk estimations to create composite risk indicators and design appropriate interventions for these scenarios.

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