Short review for medical diagnosis of diabetics using back propagation and expert system algorithm in artificial neural networks

This review paper examines the application of back propagation and expert system algorithms in artificial neural networks for the medical diagnosis of diabetes. With the high prevalence of diabetes worldwide, timely diagnosis of addiction is essential for effective control. This paper will discuss i...

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Bibliographic Details
Main Authors: Taha, Ali Hamid, Ajel, Ahmed Rashid, Kadhim, Maha Abdulameer, Abed, Jameel Kadhim, Ali, Zakarya Bilal
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Artificial neural networks
Back propagation networks
Critical field (superconductivity)
Diagnosis
Expert systems
Online Access:Get full text
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Summary:This review paper examines the application of back propagation and expert system algorithms in artificial neural networks for the medical diagnosis of diabetes. With the high prevalence of diabetes worldwide, timely diagnosis of addiction is essential for effective control. This paper will discuss issues related to data availability, interpretation, and scalability and explore potential future directions. This review paper serves as a valuable resource for researchers and healthcare professionals interested in leveraging artificial neural networks for the diagnosis of diabetes, facilitating advancements in this critical field of study.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0236261