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Establishment of a model for predicting preterm birth based on the machine learning algorithm.

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第一作者： Yao,Zhang

第一单位： School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.

作者： Yao,Zhang ^[1] ; Sisi,Du ^[1] ; Tingting,Hu ^[2] ; Shichao,Xu ^[3] ; Hongmei,Lu ^[3] ; Chunyan,Xu ^[4] ; Jufang,Li ^[5] ; Xiaoling,Zhu ^[6]

作者单位： School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China. ^[1] School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.;People's Hospital of Deyang City, Deyang, Sichuan, China. ^[2] The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China. ^[3] School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.;Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang, China. ^[4] School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China. lijf@wmu.edu.cn.;Wenzhou Manna Medical Technology Ltd, Wenzhou, Zhejiang, China. lijf@wmu.edu.cn. ^[5] School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China. zxl@wmu.edu.cn.;Wenzhou Manna Medical Technology Ltd, Wenzhou, Zhejiang, China. zxl@wmu.edu.cn. ^[6]

关键词 Electronic health records Machine learning Prediction Preterm birth Risk factors of preterm birth

医学主题词女(雌)性(Female);人类(Humans);婴儿, 新生(Infant, Newborn);早产(Premature Birth);贝叶斯定理(Bayes Theorem);横断面研究(Cross-Sectional Studies);算法(Algorithms)

DOI 10.1186/s12884-023-06058-7

PMID 37950186

发布时间 2023-11-13

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