Login / Signup

Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review.

Qiuyu YangXia FanXiao CaoWeijie HaoJiale LuJia WeiJinhui TianMin YinLong Ge
Published in: Acta obstetricia et gynecologica Scandinavica (2022)
Reporting and methodological quality of machine learning-based prediction models in preterm birth were poor. It is urgent to improve the design, conduct, and reporting of such studies to boost the application of machine learning-based prediction models in preterm birth in clinical practice.
Keyphrases
  • preterm birth
  • machine learning
  • low birth weight
  • gestational age
  • adverse drug
  • artificial intelligence
  • clinical practice
  • big data
  • deep learning