Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania

Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania

Clifford Silver Tarimo,1,2 Soumitra S Bhuyan,3 Quanman Li,1 Weicun Ren,4 Michael Johnson Mahande,5 Jian Wu1 1Department of Epidemiology and Health Statistics, Zhengzhou University, Zhengzhou, People’s Republic of China; 2Department of Science and Laboratory Technology, Dar es Salaam Institute of Tec...

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Bibliographic Details
Main Authors: Tarimo CS, Bhuyan SS, Li Q, Ren W, Mahande MJ, Wu J
Format: Article
Language:English
Published: Dove Medical Press 2021-09-01
Series:Risk Management and Healthcare Policy
Subjects:
low apgar score
labor induction
machine learning
ensemble learning
resampling methods
imbalanced data.
Online Access:https://www.dovepress.com/combining-resampling-strategies-and-ensemble-machine-learning-methods--peer-reviewed-fulltext-article-RMHP

Internet

https://www.dovepress.com/combining-resampling-strategies-and-ensemble-machine-learning-methods--peer-reviewed-fulltext-article-RMHP

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