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Novelelectronic health records applied for prediction of pre-eclampsia: Machine-learning algorithms.
Li, Yi-Xin; Shen, Xiao-Ping; Yang, Chao; Cao, Zuo-Zeng; Du, Rui; Yu, Min-da; Wang, Jun-Ping; Wang, Mei.
Affiliation
  • Li YX; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Shen XP; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Yang C; Department of Scientific Research Centre, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Cao ZZ; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Du R; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Yu MD; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Wang JP; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Wang M; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. Electronic address: 2906499588@qq.com.
Pregnancy Hypertens ; 26: 102-109, 2021 Dec.
Article in En | MEDLINE | ID: mdl-34739939
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pre-Eclampsia / Machine Learning Type of study: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Pregnancy Language: En Journal: Pregnancy Hypertens Year: 2021 Document type: Article Affiliation country: China Country of publication: Netherlands
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pre-Eclampsia / Machine Learning Type of study: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Pregnancy Language: En Journal: Pregnancy Hypertens Year: 2021 Document type: Article Affiliation country: China Country of publication: Netherlands