Application of machine learning methodology to assess the performance of DIABETIMSS program for patients with type 2 diabetes in family medicine clinics in Mexico

Application of machine learning methodology to assess the performance of DIABETIMSS program for patients with type 2 diabetes in family medicine clinics in Mexico

Abstract Background The study aimed to assess the performance of a multidisciplinary-team diabetes care program called DIABETIMSS on glycemic control of type 2 diabetes (T2D) patients, by using available observational patient data and machine-learning-based targeted learning methods. Methods We anal...

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Bibliographic Details
Main Authors: Yue You, Svetlana V. Doubova, Diana Pinto-Masis, Ricardo Pérez-Cuevas, Víctor Hugo Borja-Aburto, Alan Hubbard
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning methodology
Diabetes program
Family medicine clinics
Mexico
Online Access:http://link.springer.com/article/10.1186/s12911-019-0950-5

Internet

http://link.springer.com/article/10.1186/s12911-019-0950-5

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