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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 9, SEPTEMBER 2024

Diagnosis of Chronic Kidney Disease Within a Comprehensive Artificial Intelligence-Driven Healthcare System

Frank Edughom Ekpar

DOI: 10.17148/IJARCCE.2024.13914

Abstract: Chronic Kidney Disease (CKD) is a major noncommunicable disease (NCD) that affects a significant fraction of the millions of people annually who are negatively impacted by NCDs worldwide. This paper presents an artificial intelligence (AI) model trained on publicly available chronic kidney disease data that could be incorporated into a chronic kidney disease diagnosis module within a modular and comprehensive artificial intelligence-driven healthcare system.

Keywords: Chronic Kidney Disease (CKD), Noncommunicable Disease (NCD), Artificial Intelligence (AI), Artificial Neural Network (ANN), Deep Learning (DL), Healthcare System.

How to Cite:

[1] Frank Edughom Ekpar, “Diagnosis of Chronic Kidney Disease Within a Comprehensive Artificial Intelligence-Driven Healthcare System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13914