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

OBJECTIVE: The goal of this study was to establish the most efficient boosting method in predicting neonatal low Apgar scores following labor induction intervention and to assess whether resampling strategies would improve the predictive performance of the selected boosting algorithms. METHODS: A to...

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Detalles Bibliográficos
Autores principales: Tarimo, Clifford Silver, Bhuyan, Soumitra S, Li, Quanman, Ren, Weicun, Mahande, Michael Johnson, Wu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434924/
https://www.ncbi.nlm.nih.gov/pubmed/34522147
http://dx.doi.org/10.2147/RMHP.S331077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434924/
https://www.ncbi.nlm.nih.gov/pubmed/34522147
http://dx.doi.org/10.2147/RMHP.S331077

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