An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques

Abstract Background Diabetes mellitus (DM) is a chronic disease prevalent worldwide, requiring a multifaceted analytical approach to improve early detection and subsequent mitigation of morbidity and mortality rates. This research aimed to develop an explainable analysis of DM by combining sociodemo...

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Bibliographic Details
Main Authors: William Hoyos, Kenia Hoyos, Rander Ruiz, Jose Aguilar
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Online Access:https://doi.org/10.1186/s12911-024-02810-x
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