Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies

BACKGROUND: Low birthweight (LBW) is a leading cause of neonatal mortality in the United States and a major causative factor of adverse health effects in newborns. Identifying high-risk patients early in prenatal care is crucial to preventing adverse outcomes. Previous studies have proposed various...

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Detalles Bibliográficos
Autores principales: Ren, Yang, Wu, Dezhi, Tong, Yan, López-DeFede, Ana, Gareau, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267797/
https://www.ncbi.nlm.nih.gov/pubmed/37256674
http://dx.doi.org/10.2196/44081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267797/
https://www.ncbi.nlm.nih.gov/pubmed/37256674
http://dx.doi.org/10.2196/44081

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