Construction and evaluation of machine learning-based predictive models for early-onset preeclampsia.

Journal: Pregnancy hypertension
PMID: 39889366

Abstract

OBJECTIVE: To analyze the influencing factors of early-onset preeclampsia (EOPE). And to construct and validate the prediction model of EOPE using machine learning algorithm.

Authors

  • Bohan Lv
    School of Nursing, Qingdao University, Qingdao, China.
  • Gang Wang
    National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
  • Yueshuai Pan
    Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Guanghui Yuan
    Department of Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
  • Lili Wei
    Shandong Institute for Food and Drug Control, Ji'nan 250101, China.

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