Giving more insight for automatic risk prediction during pregnancy with interpretable machine learning

Volume: 10, Issue: 3
Published: Jun 1, 2021
Abstract
Maternal mortality rate (MMR) in Indonesia intercensal population survey (SUPAS) was considered high. For pregnancy risk detection, the public health center (puskesmas) applies a Poedji Rochjati screening card (KSPR) demonstrating 20 features. In addition to KSPR, pregnancy risk monitoring has been assisted with a pregnancy control card. Because of the differences in the number of features between the two control cards, it is necessary to make...
Paper Details
Title
Giving more insight for automatic risk prediction during pregnancy with interpretable machine learning
Published Date
Jun 1, 2021
Volume
10
Issue
3
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