Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Development of an Expert System for Diabetic Type-2 Diet

Domaine:

healthcare

Type de record:

software
Créateur:
AhmMah
Éditeur:
arXiv
Hôte:avatar
A successful intelligent control of patient food for treatment purpose must combines patient interesting food list and doctors efficient treatment food list. Actually, many rural communities in Sudan have extremely limited access to diabetic diet centers. People travel long distances to clinics or medical facilities, and there is a shortage of medical experts in most of these facilities. This results in slow service, and patients end up waiting long hours without receiving any attention. Hence diabetic diet expert systems can play a significant role in such cases where medical experts are not readily available. This paper presents the design and implementation of an intelligent medical expert system for diabetes diet that intended to be used in Sudan. The development of the proposed expert system went through a number of stages such problem and need identification, requirements analysis, knowledge acquisition, formalization, design and implementation. Visual prolog was used for designing the graphical user interface and the implementation of the system. The proposed expert system is a promising helpful tool that reduces the workload for physicians and provides diabetics with simple and valuable assistance.

Visit

doi.orgarxiv.org

Tags

Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences

Licenses

Creative Commons Zero v1.0 Universalhttps://creativecommons.org/publicdomain/zero/1.0/legalcode

Similaires

A MACHINE LEARNING APPROACH FOR DETECTING TYPE 2 DIABETIC DISEASEDevelopment of Fuzzy Logic-Base Diagnosis Expert System for Typhoid FeverOral health in rural South African type 2 diabetic patientsDietary Practice among Type 2 Diabetic Ppatients in Southern EthiopiaAn expert system for the diagnosis of sexually transmitted diseases – ESSTDThe development of an expert system for arid rangeland management in central Namibia with emphasis on bush thickening

A MACHINE LEARNING APPROACH FOR DETECTING TYPE 2 DIABETIC DISEASE

This dataset contains 1,500 patient records developed for research on machine learning-based classif

Development of Fuzzy Logic-Base Diagnosis Expert System for Typhoid Fever

Typhoid fever (TyF), caused by salmonella typhoid bacteria, represents one of the main public health

Oral health in rural South African type 2 diabetic patients

Diabetes increases the risk of periodontal disease, but information from the tropics is lacking, and

Dietary Practice among Type 2 Diabetic Ppatients in Southern Ethiopia

Background. Diabetic patients’ dietary practice is critical to improve glycemic, lipid, and blood pr

An expert system for the diagnosis of sexually transmitted diseases – ESSTD

Over 93 million people get ill with sexually transmitted diseases in sub-Saharan Africa. However, re

The development of an expert system for arid rangeland management in central Namibia with emphasis on bush thickening