Accessing Artificial Intelligence for Fetus Health Status Using Hybrid Deep Learning Algorithm (AlexNet-SVM) on Cardiotocographic Data

Artificial intelligence is serving as an impetus in digital health, clinical support, and health informatics for an informed patient’s outcome. Previous studies only consider classification accuracies of cardiotocographic (CTG) datasets and disregard computational time, which is a relevant parameter...

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Detalles Bibliográficos
Autores principales: Muhammad Hussain, Nadia, Rehman, Ateeq Ur, Othman, Mohamed Tahar Ben, Zafar, Junaid, Zafar, Haroon, Hamam, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319518/
https://www.ncbi.nlm.nih.gov/pubmed/35890783
http://dx.doi.org/10.3390/s22145103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319518/
https://www.ncbi.nlm.nih.gov/pubmed/35890783
http://dx.doi.org/10.3390/s22145103

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