An optimization for postpartum depression risk assessment and preventive intervention strategy based machine learning approaches.

Hao Liu,Anran Dai, Zhou Zhou,Xiaowen Xu,Kai Gao,Qiuwen Li,Shouyu Xu,Yunfei Feng,Chen Chen,Chun Ge, Yuanjun Lu,Jianjun Zou,Saiying Wang

Journal of affective disorders（2023）

引用 1|浏览3

暂无评分

摘要

Our study demonstrated that the XGB algorithm provided a more accurate in prediction of PPD risk, and it was beneficial to receive early intervention for the high-risk groups distinguished by the model.

查看译文

关键词

Dexmedetomidine,Ketamine,Machine learning,Postpartum depression,Prediction model,Risk threshold

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要