Development of an expert system for pre-diagnosis of hypertension, diabetes mellitus type 2 and metabolic syndrome.

Health Informatics Journal
Claudio Urrea, Alexis Mignogna

Abstract

This study involved the development of an expert system for the pre-diagnosis of hypertension, diabetes mellitus type 2 and metabolic syndrome. The expert system has been developed using web technologies, PHP, Apache and MySQL with CLIPS tool; the expert system includes three algorithms designed by the authors, one for each disease. The objective of this study is to provide an expert system capable of performing a pre-diagnosis for early detection of hypertension, diabetes mellitus type 2 and metabolic syndrome. The methodology to build the system consists in associated risk factors, clinical variables diagnosis criteria based on World Health Organization standards in three algorithms and then develop a program that interacts with users, besides the expert system is compared with the existing expert systems in order to show its originality and innovation. The rules of systems are designed using CLIPS systems and the Architecture Apache, MySQL and PHP for the user interface and database. The system was validated by 72 patient(s) and 3 real doctors, the total result over 72 patient(s) is low risk 16.6 percent, moderate risk 30.5 percent, moderate high risk 13.8 percent, high risk 23.6 percent, very high risk 15.2 percent, and the...Continue Reading

References

May 27, 2017·Journal of the American College of Cardiology·Chayakrit KrittanawongTakeshi Kitai
Aug 19, 2017·Health Informatics Journal·Dimitris Spathis, Panayiotis Vlamos
Mar 26, 2019·Diabetes/metabolism Research and Reviews·Weiping JiaUNKNOWN Chinese Diabetes Society

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Methods Mentioned

BETA
CLIPS

Software Mentioned

CLIPS
Apache
PHP
MYCIN
MEDSCAPE
AMP
MySQL
IOS
CLIPS ( C Language Integrated Production System )

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