Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

BACKGROUND: Emerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors on health. These issues are not satisfactorily a...

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Detalles Bibliográficos
Autores principales: Kasthurirathne, Suranga N, Grannis, Shaun, Halverson, Paul K, Morea, Justin, Menachemi, Nir, Vest, Joshua R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380999/
https://www.ncbi.nlm.nih.gov/pubmed/32479414
http://dx.doi.org/10.2196/16129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380999/
https://www.ncbi.nlm.nih.gov/pubmed/32479414
http://dx.doi.org/10.2196/16129

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