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

• Main Authors: Clifford Silver Tarimo (Author), Soumitra S. Bhuyan (Author), Yizhen Zhao (Author), Weicun Ren (Author), Akram Mohammed (Author), Quanman Li (Author), Marilyn Gardner (Author), Michael Johnson Mahande (Author), Yuhui Wang (Author), Jian Wu (Author)
• Format: Book
• Published: BMC, 2022-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Prediction of low Apgar score for vaginal deliveries following labor induction intervention is critical for improving neonatal health outcomes. We set out to investigate important attributes and train popular machine learning (ML) algorithms to correctly classify neonates with a...