Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France

BACKGROUND: The use of machine learning techniques is increasing in healthcare which allows to estimate and predict health outcomes from large administrative data sets more efficiently. The main objective of this study was to develop a generic machine learning (ML) algorithm to estimate the incidenc...

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Detalles Bibliográficos
Autores principales: Haneef, Romana, Kab, Sofiane, Hrzic, Rok, Fuentes, Sonsoles, Fosse-Edorh, Sandrine, Cosson, Emmanuel, Gallay, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456679/
https://www.ncbi.nlm.nih.gov/pubmed/34551816
http://dx.doi.org/10.1186/s13690-021-00687-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456679/
https://www.ncbi.nlm.nih.gov/pubmed/34551816
http://dx.doi.org/10.1186/s13690-021-00687-0

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