NDLI: Expert System to Diagnosing Heart Attack Disease Using Certainty Factor Method

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Expert System to Diagnosing Heart Attack Disease Using Certainty Factor Method

Content Provider	Scilit
Author	Parwito Iqbal, Muhammad Fatia, Nurul Surya, Sara Susilawati, Evi Azharman, Zefri Moelyaningrum, Anita Dewi Wikansari, Rinandita Nugraha, Andri Maifizar, Arfriani Mukarromah, Nur Hasibuan, Abdurrozzaq Kurnia, Dian Ade Sudarsana, I. Ketut
Copyright Year	2019
Description	Journal: Journal of Physics: Conference Series Coronary Heart Disease is one of many diseases that cause death and still being a health problem for both developed and developing countries. It is estimated to double in the next two decades, making it the biggest leading cause of death in 2020. The causes of coronary heart disease contain age and sex, with the incidence of males is more than in females but the incidence of females will increase after menopause (the end of the menstrual cycle) around the age of 50 years. This is due to estrogen (steroid compounds) have a protective effect on the onset of atherosclerosis. In this study the author wants to create a system that can detect heart disease by users before ensuring himself to the doctor to diagnose heart disease which is very dangerous. The system that the author will design used the certainty factor method to provide an assessment of the symptoms of user diagnosis. The application was designed with the desktop-based visual studio software assistance that is easy to use by everyone because it is familiar with the windows display design.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1363/1/012069/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1363/1/012069
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	1363
Language	English
Publisher	IOP Publishing
Publisher Date	2019-11-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Coronary Heart Disease Certainty Factor Method Used the Certainty Diagnosing Heart
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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