Dietry Monitoring System Using Decision Tree to Control Human Obesity

نویسندگان

چکیده

Nowadays, obesity is one of the dangerous diseases in world. Lack dietary monitoring system will make it difficult for people with to reduce their weight problems. The main objective this project develop a that can be used by everybody especially obesity’s people. method study identify strength and weaknesses existing which involves reviewing some articles, journals, magazines, books. survey was conducted 10 answering questionnaire. Respondent answered improve quality system. Next utilizing waterfall model as applied decision tree technique classified food calorie. Therefore, developing last participation three respondents evaluate usability Respondents need answer whether they satisfied or give suggestions future improvement. results show public health issue rapidly increasing must addressed seriously Significant developed such helping diet giving them guideline. In conclusion, help using classifying calories.

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ژورنال

عنوان ژورنال: International Journal of Artificial Intelligence

سال: 2023

ISSN: ['2407-7275', '2686-3251']

DOI: https://doi.org/10.36079/lamintang.ijai-01001.485