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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 8, AUGUST 2024

Diagnosis of Diabetes Within a Comprehensive Artificial Intelligence-Driven Healthcare System

Frank Edughom Ekpar

DOI: 10.17148/IJARCCE.2024.13802

Abstract: Diabetes affects millions of people around the world with a significant economic, physical, social and psychological burden leading to avoidable suffering, disability and sometimes mortality. This significant burden is exacerbated in less developed countries by the chronic and seemingly intractable dearth of qualified medical practitioners. Given accurate diagnoses and predictions, efficacious life-saving therapies could be developed. This paper presents a module for the diagnosis of diabetes within the framework of a modular, extensible and comprehensive artificial intelligence-driven healthcare system.

Keywords: Diabetes, Artificial Intelligence, Deep Learning, Healthcare System.

How to Cite:

[1] Frank Edughom Ekpar, “Diagnosis of Diabetes Within a Comprehensive Artificial Intelligence-Driven Healthcare System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13802