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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Main Authors: | Romana Haneef (Author), Sofiane Kab (Author), Rok Hrzic (Author), Sonsoles Fuentes (Author), Sandrine Fosse-Edorh (Author), Emmanuel Cosson (Author), Anne Gallay (Author) |
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Format: | Book |
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BMC,
2021-09-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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