Open AccessE, System EXPERD SYSTEM OF OBESITY DIAGNOSIS USING BACKWARD CHAINING METHOD AND CERTAIN FACTOR
Author(s) -
Fegie Yoanti Wattimena,
Reni Koibur,
Dion R A Mamisala,
Septi Andryana
Publication year - 2020
Publication title -
iaic transactions on sustainable digital innovation
Language(s) - English
Resource type - Journals
ISSN - 2715-0461
DOI - 10.34306/itsdi.v1i2.106
Subject(s) - forward chaining , obesity , expert system , chaining , life expectancy , backward chaining , android (operating system) , computer science , android application , risk analysis (engineering) , medicine , data science , psychology , artificial intelligence , environmental health , developmental psychology , inference engine , population , operating system
Obesity is a medical condition in the form of excess body fat that accumulates in such a way as to have a detrimental impact on health, which then decreases life expectancy and or increases health problems. Obesity is now a common health problem in this modern society with a variety of technological discoveries that make people don't need to move a lot to do something, resulting in people living a lifestyle without much Move. Researchers feel the need for an expert system application that can easily diagnose obesity with everyone just by modalizing simple applications on people's smartphones. The expert system that is built will diagnose early obesity disease by method of drawing inferences using backward chaining method and to test the level of belief conclusions using certainity factor method. The system will be able to provide output in the form of obesity diagnosis, explanation, tips and advice on obesity handling solutions. System development Methods using ESDLC (Expert System Development Life Cycle). The system is built on Android.