Expert System for Diagnosing Disease Risk from Urine Tests

On Sharp Boundary Problem in Rule Based Expert Systems in the Medical Domain

International Journal of Healthcare Information Systems and Informatics ◽

10.4018/jhisi.2010070102 ◽

2010 ◽

Vol 5 (3) ◽

pp. 14-26

Author(s):

Oladipupo O. Olufunke ◽

Uwadia O. Charles ◽

Ayo K. Charles

Keyword(s):

Coronary Heart Disease ◽

Heart Disease ◽

Expert System ◽

Boundary Problem ◽

System Approach ◽

Disease Risk ◽

Fuzzy Expert System ◽

Sharp Boundary ◽

Rule Based

Recently, the application of the conventional rule based expert system for disease risk determination in medical domains has increased. However, a major limitation to the effectiveness of the rule based expert system approach is the sharp boundary problem that leads to underestimation or overestimation of boundary cases, which ultimately affects the accuracy of their recommendation. In this paper, an expert driven approach is used to investigate the viability of a fuzzy expert system in the determination of risk associated with coronary heart disease with regards to the sharp boundary problem in rule based expert system.

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RUSSIAN EXPERT SYSTEM ORISKON – ASSESSMENT OF THE MAJOR NON-COMMUNICABLE DISEASE RISK

CARDIOVASCULAR THERAPY AND PREVENTION ◽

10.15829/1728-8800-2013-4-51-55 ◽

2013 ◽

Vol 12 (4) ◽

pp. 51-55 ◽

Cited By ~ 2

Author(s):

S. A. Shalnova ◽

A. M. Kalinina ◽

A. D. Deev ◽

A. V. Pustelenin

Keyword(s):

Expert System ◽

Disease Risk ◽

Communicable Disease ◽

Non Communicable Disease

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Physician Review of a Celiac Disease Risk Estimation and Decision-Making Expert System

Journal of the American College of Nutrition ◽

10.1080/07315724.2019.1608477 ◽

2019 ◽

Vol 38 (8) ◽

pp. 722-728

Author(s):

Robert L. Pastore ◽

Joseph A. Murray ◽

Frederick D. Coffman ◽

Antonina Mitrofanova ◽

Shankar Srinivasan

Keyword(s):

Decision Making ◽

Celiac Disease ◽

Expert System ◽

Disease Risk ◽

Risk Estimation ◽

Physician Review

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On Sharp Boundary Problem in Rule Based Expert Systems in the Medical Domain

Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs ◽

10.4018/978-1-4666-1755-1.ch007 ◽

2012 ◽

pp. 112-124

Author(s):

Oladipupo O. Olufunke ◽

Uwadia O. Charles ◽

Ayo K. Charles

Keyword(s):

Coronary Heart Disease ◽

Heart Disease ◽

Expert System ◽

Boundary Problem ◽

System Approach ◽

Disease Risk ◽

Fuzzy Expert System ◽

Sharp Boundary ◽

Rule Based

Recently, the application of the conventional rule based expert system for disease risk determination in medical domains has increased. However, a major limitation to the effectiveness of the rule based expert system approach is the sharp boundary problem that leads to underestimation or overestimation of boundary cases, which ultimately affects the accuracy of their recommendation. In this paper, an expert driven approach is used to investigate the viability of a fuzzy expert system in the determination of risk associated with coronary heart disease with regards to the sharp boundary problem in rule based expert system.

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Expert System for Disease Risk Based on Lifestyle with Fuzzy Mamdani

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.3.12622 ◽

2018 ◽

Vol 7 (2.3) ◽

pp. 88 ◽

Cited By ~ 8

Author(s):

M Mesran ◽

Muhammad Syahrizal ◽

S Suginam ◽

Nuning Kurniasih ◽

Achmad Daengs GS ◽

...

Keyword(s):

Expert System ◽

Expert Systems ◽

Disease Risk ◽

The Body ◽

Search Model ◽

Healthy Living ◽

Healthy Life ◽

Heart And Mind

The importance of health for everyone to be able to empower everything that is owned and the environment maximally, health is closely related to healthy living. So that can be described the meaning of healthy life is to have health in life with no problems of disruption in life both physical in the form of disease in the body and non-physical that is related to the condition of the soul, heart and mind of a person in life both individually and socially. The use of expert systems with the search model with the Fuzzy Mamdani method can help to know the condition of the disease that may be suffered by each individual based on the pattern of life that he did.

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