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Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study.

Weina ZhangHan LiuVincent Michael Bernard SilenzioPeiyuan QiuWenjie Gong
Published in: JMIR medical informatics (2020)
In contrast to the expert consultation method, FFS-RF was important in dimension reduction. When the sample size is small, the SVM algorithm is suitable for predicting PPD. In the prevention of PPD, more attention should be paid to the psychological resilience of mothers.
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