scholarly journals Web-based Fuzzy Expert System for Symptomatic Risk Assessment of Diabetes Mellitus

2018 ◽  
Vol 182 (3) ◽  
pp. 5-12
Author(s):  
I. K. ◽  
B. T. ◽  
Kapil Patil
Keyword(s):  
Diabetes Mellitus ◽  
Risk Assessment ◽  
Expert System ◽  
Fuzzy Expert System ◽  
Web Based

scholarly journals A Novel Web-based Human Advisor Fuzzy Expert System

2013 ◽  
Vol 11 (1) ◽  
pp. 161-168 ◽  
Author(s):  
Vahid Rafe ◽  
Mahdi Hassani Goodarzi
Keyword(s):  
Expert System ◽  
Fuzzy Expert System ◽  
Web Based

A web-based expert system for gypsy moth risk assessment

2000 ◽  
Vol 27 (1-3) ◽  
pp. 95-105 ◽  
Author(s):  
W.D Potter ◽  
X Deng ◽  
J Li ◽  
M Xu ◽  
Y Wei ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Expert System ◽  
Gypsy Moth ◽  
Web Based

scholarly journals Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining

SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Rusdiansyah Rusdiansyah ◽  
Santoso Setiawan ◽  
Mohammad Badrul
Keyword(s):  
Diabetes Mellitus ◽  
Information Technology ◽  
Expert System ◽  
Health Sector ◽  
Final Conclusion ◽  
Web Based ◽  
Forward Chaining ◽  
Diabetes Mellitus Diagnosis ◽  
Artificial Intelligence Technology

Diabetes Mellitus Diagnosis Expert System with Web-Based Forward Chaining Method. An expert system is one branch of artificial intelligence technology that combines the knowledge of an expert with tracing data to solve problems that are normally carried out by an expert. The development of information technology now makes it possible to access information from anywhere and anytime. So the role of information technology is increasingly useful to be able to develop in various fields including in the health sector. One of them is the system used to diagnose diabetes mellitus. Diabetes Mellitus is one of the most common diseases in the world. The inability of the pancreas to produce insulin normally becomes one of the reasons a person has this disease. In this research, the method used is Forward Chaining which sorts all data obtained before getting the final conclusion. The final results obtained from this study is an expert system application for diagnosing diabetes with a forward chaining method, where the user answers questions based on perceived symptoms, then the results obtained in the form of disease and explanation of the disease.

A web-based fuzzy expert system for frost warnings in horticultural crops

2012 ◽  
Vol 35 ◽  
pp. 84-91 ◽  
Author(s):  
Robert F. Chevalier ◽  
Gerrit Hoogenboom ◽  
Ronald W. McClendon ◽  
Joel O. Paz
Keyword(s):  
Expert System ◽  
Fuzzy Expert System ◽  
Web Based ◽  
Horticultural Crops
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