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Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluid.

Sun Wha ParkDaejoong OhHanna HeoGain LeeSoo Min KimAbuZar AnsariYoung-Ah YouYun Ji JungYoung-Han KimMyunghoon LeeYoung Ju Kim
Published in: American journal of reproductive immunology (New York, N.Y. : 1989) (2021)
Using machine learning, the bacterial risk score in CVF can be used to predict PTB.
Keyphrases
  • preterm birth
  • machine learning
  • low birth weight
  • gestational age
  • artificial intelligence
  • big data