Prediction Model of Adverse Pregnancy Outcome in Pre-Eclampsia Based on Logistic Regression and Random Forest Algorithm.

Wang, Lingyan; Mo, Yun; Wang, Peili; Shen, Weiwei; Xu, Li; Zhao, Gang; Lu, Jiali

Wang, Lingyan; Mo, Yun; Wang, Peili; Shen, Weiwei; Xu, Li; Zhao, Gang; Lu, Jiali.

Altern Ther Health Med ; 30(1): 142-147, 2024 Jan.

Article in En | MEDLINE | ID: mdl-37773662

Subject(s)

Pre-Eclampsia; Pregnancy Outcome; Female; Child; Pregnancy; Humans; Pregnancy Outcome/epidemiology; Pre-Eclampsia/epidemiology; Pre-Eclampsia/diagnosis; Random Forest; Retrospective Studies; Logistic Models

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Collection: 01-internacional Database: MEDLINE Main subject: Pre-Eclampsia / Pregnancy Outcome Type of study: Clinical_trials / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Female / Humans / Pregnancy Language: En Journal: Altern Ther Health Med Journal subject: TERAPIAS COMPLEMENTARES Year: 2024 Type: Article

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