Machine learning and disease prediction in obstetrics

Machine learning technologies and translation of artificial intelligence tools to enhance the patient experience are changing obstetric and maternity care. An increasing number of predictive tools have been developed with data sourced from electronic health records, diagnostic imaging and digital de...

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Detalles Bibliográficos
Autores principales: Arain, Zara, Iliodromiti, Stamatina, Slabaugh, Gregory, David, Anna L., Chowdhury, Tina T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles from the special issue: Physiology, Female Reproduction and Bioengineering , edited by Susan Wray,Sarah England,Tina Chowdhury and Kristin Miller
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265477/
https://www.ncbi.nlm.nih.gov/pubmed/37324652
http://dx.doi.org/10.1016/j.crphys.2023.100099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265477/
https://www.ncbi.nlm.nih.gov/pubmed/37324652
http://dx.doi.org/10.1016/j.crphys.2023.100099

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