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CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features.

Sima RanjbariToktam KhatibiAhmad Vosough DizajiHesamoddin SajadiMehdi TotonchiFirouzeh Ghaffari
Published in: BMC medical informatics and decision making (2021)
The most important predictors for predicting IUI outcome are semen parameters (sperm motility and concentration) as well as female body mass index (BMI).
Keyphrases
  • body mass index
  • weight gain
  • neural network
  • machine learning
  • biofilm formation
  • deep learning
  • physical activity
  • convolutional neural network
  • pseudomonas aeruginosa
  • network analysis
  • candida albicans