Integrated Deep Learning and Supervised Machine Learning Model for Predictive Fetal Monitoring

Asphyxiation associated with metabolic acidosis is one of the common causes of fetal deaths. The paper aims to develop a feature extraction and prediction algorithm capable of identifying most of the features in the SISPORTO software package and late and variable decelerations. The resulting feature...

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Detalles Bibliográficos
Autores principales: Gude, Vinayaka, Corns, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689398/
https://www.ncbi.nlm.nih.gov/pubmed/36428902
http://dx.doi.org/10.3390/diagnostics12112843

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689398/
https://www.ncbi.nlm.nih.gov/pubmed/36428902
http://dx.doi.org/10.3390/diagnostics12112843

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