Artificial neural network approaches to identify maternal and infant risk and asset factors using Peridata.Net: a WI-MIOS study

OBJECTIVE: To analyze PeriData.Net, a clinical registry with linked maternal–infant hospital data of Milwaukee County residents, to demonstrate a predictive analytic approach to perinatal infant risk assessment. MATERIALS AND METHODS: Using unsupervised learning, we identified infant birth clusters...

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Detalles Bibliográficos
Autores principales: Holt, Jeana M, Talsma, AkkeNeel, Johnson, Teresa S, Ehlinger, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500218/
https://www.ncbi.nlm.nih.gov/pubmed/37719084
http://dx.doi.org/10.1093/jamiaopen/ooad080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500218/
https://www.ncbi.nlm.nih.gov/pubmed/37719084
http://dx.doi.org/10.1093/jamiaopen/ooad080

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