Application of machine learning to identify risk factors of birth asphyxia

BACKGROUND: Developing a prediction model that incorporates several risk factors and accurately calculates the overall risk of birth asphyxia is necessary. The present study used a machine learning model to predict birth asphyxia. METHODS: Women who gave birth at a tertiary Hospital in Bandar Abbas,...

Descripción completa

Detalles Bibliográficos
Autores principales: Darsareh, Fatemeh, Ranjbar, Amene, Farashah, Mohammadsadegh Vahidi, Mehrnoush, Vahid, Shekari, Mitra, Jahromi, Malihe Shirzadfard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9993370/
https://www.ncbi.nlm.nih.gov/pubmed/36890453
http://dx.doi.org/10.1186/s12884-023-05486-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9993370/
https://www.ncbi.nlm.nih.gov/pubmed/36890453
http://dx.doi.org/10.1186/s12884-023-05486-9

Ejemplares similares