Prediction of low apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in north tanzania

HIGHLIGHTS

• who: Clifford Silver Tarimo from the Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Kexue Zhengzhou, Henan, China have published the article: Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania, in the Journal: (JOURNAL)
• what: The authors hypothesized that machine_learning models can perform well in the presence of class imbalance following the application of resampling techniques. As neonates with low Apgar score were extremely low (9.5%) compared to those with . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.