Machine learning models based on clinical indices and cardiotocographic features for discriminating asphyxia fetuses—Porto retrospective intrapartum study

INTRODUCTION: Perinatal asphyxia is one of the most frequent causes of neonatal mortality, affecting approximately four million newborns worldwide each year and causing the death of one million individuals. One of the main reasons for these high incidences is the lack of consensual methods of early...

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Detalles Bibliográficos
Autores principales: Ribeiro, Maria, Nunes, Inês, Castro, Luísa, Costa-Santos, Cristina, S. Henriques, Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10074982/
https://www.ncbi.nlm.nih.gov/pubmed/37033082
http://dx.doi.org/10.3389/fpubh.2023.1099263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10074982/
https://www.ncbi.nlm.nih.gov/pubmed/37033082
http://dx.doi.org/10.3389/fpubh.2023.1099263

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