Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study
BackgroundPostpartum depression (PPD) is a serious public health problem. Building a predictive model for PPD using data during pregnancy can facilitate earlier identification and intervention. ObjectiveThe aims of this study are to compare the effects of four dif...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2020-04-01
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| Series: | JMIR Medical Informatics |
| Online Access: | http://medinform.jmir.org/2020/4/e15516/ |