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

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

Abstract 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...

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Bibliographic Details
Main Authors: Romana Haneef, Sofiane Kab, Rok Hrzic, Sonsoles Fuentes, Sandrine Fosse-Edorh, Emmanuel Cosson, Anne Gallay
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Archives of Public Health
Subjects:
Artificial intelligence
Machine learning technique
Supervise learning
Health indicator
Incidence
Diabetes mellitus
Online Access:https://doi.org/10.1186/s13690-021-00687-0

Internet

https://doi.org/10.1186/s13690-021-00687-0

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