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Preeclampsia prediction model using demographic, clinical, and sonographic data in the second trimester of Japanese nulliparous women.

Satoshi ShinoharaTatsuya YoshiharaKana MochizukiGenki YasudaMayuko KasaiRei Sunami
Published in: The journal of obstetrics and gynaecology research (2023)
This study is the first to provide a prediction formula targeting the Japanese population. Our specialized model for nulliparous women could guide obstetricians to educate women regarding the precise prospect of PE development.
Keyphrases
  • pregnancy outcomes
  • polycystic ovary syndrome
  • pregnant women
  • palliative care
  • electronic health record
  • metabolic syndrome
  • cancer therapy
  • adipose tissue
  • machine learning
  • preterm infants
  • drug delivery