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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...
Autores principales: | Tarimo, Clifford Silver, Bhuyan, Soumitra S, Li, Quanman, Ren, Weicun, Mahande, Michael Johnson, Wu, Jian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
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 |
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