Identifying type 1 / type 2 diabetes in medico-administrative database to improve health surveillance, medical research and prevention in diabetes: Algorithm development and application

Identifying type 1 / type 2 diabetes in medico-administrative database to improve health surveillance, medical research and prevention in diabetes: Algorithm development and application

Introduction: Big data sources represent an opportunity for diabetes research. One example is the French national health data system (SNDS), gathering information on medical claims of out-of-hospital health care and hospitalizations for the entire French population (66 million). Currently, a validat...

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Bibliographic Details
Main Authors: Sonsoles Fuentes, Rok Hrzic, Romana Haneef, Sofiane Kab, Emmanuel Cosson, Sandrine Fosse-Edorh
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Diabetes Epidemiology and Management
Subjects:
Machine learning
Algorithm
Type 1 diabetes
Type 2 diabetes and prevalence
Online Access:http://www.sciencedirect.com/science/article/pii/S2666970623000100

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http://www.sciencedirect.com/science/article/pii/S2666970623000100

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