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Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar

BackgroundMaternal and neonatal health outcomes in low- and middle-income countries (LMICs) have improved over the last two decades. However, many pregnant women still deliver at home, which increases the health risks for both the mother and the child. Community health worker programs have been broa...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Alma Fredriksson, Isabel R. Fulcher, Allyson L. Russell, Tracey Li, Yi-Ting Tsai, Samira S. Seif, Rose N. Mpembeni, Bethany Hedt-Gauthier
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Frontiers Media S.A. 2022-08-01
Rangatū:Frontiers in Digital Health
Ngā marau:
Urunga tuihono:https://www.frontiersin.org/articles/10.3389/fdgth.2022.855236/full
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