Fuzzy Expert System for Heart Attack Diagnosis

International Research and Innovation Summit 2017

Hassan, Norlida^1 ; Arbaiy, Nureize^1 ; Shah, Noor Aziyan Ahmad^1 ; Afizah, Zehan^1

Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Batu Pahat

86400, Malaysia^1

关键词: Decision making process;    Disease prevention;    Fuzzy expert systems;    Health-care managements;    Human intelligence;    Hybrid artificial intelligences;    Knowledge dissemination;    Medical practitioner;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/226/1/012111/pdf
DOI  :  10.1088/1757-899X/226/1/012111

来源: IOP

【 摘 要 】

Heart attack is one of the serious illnesses and reported as the main killer disease. Early prevention is significant to reduce the risk of having the disease. The prevention efforts can be strengthen through awareness and education about risk factor and healthy lifestyle. Therefore the knowledge dissemination is needed to play role in order to distribute and educate public in health care management and disease prevention. Since the knowledge dissemination in medical is important, there is a need to develop a knowledge based system that can emulate human intelligence to assist decision making process. Thereby, this study utilized hybrid artificial intelligence (AI) techniques to develop a Fuzzy Expert System for Diagnosing Heart Attack Disease (HAD). This system integrates fuzzy logic with expert system, which helps the medical practitioner and people to predict the risk and as well as diagnosing heart attack based on given symptom. The development of HAD is expected not only providing expert knowledge but potentially become one of learning resources to help citizens to develop awareness about heart-healthy lifestyle.