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dc.contributor.advisor Premaratne SC
dc.contributor.author Kumarasinghe SI
dc.date.accessioned 2019
dc.date.available 2019
dc.date.issued 2019
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/15786
dc.description.abstract Calculate nutrient intake from food consumption details is an uninteresting, time consuming, error-prone task when the data is fed by manually. People check the label of foods for various purposes. Many customers would like to know how to use this food label details more easily as well as effectively. So, there should be an easy methodology to identify users who need nutritional care as well as with measurements of nutritional facts. Food nutrients appear together in foods as well as dietary patterns, and the general effects of dietary choices according to patterns are not well understood. Overweight and obese are major problems in the world. Obesity occurs from weight gains over long time. Therefore, correct and accurate nutritional analysis is very significant to the current society. Personal nutrient guide by calculating nutrient intake, predict nutritious foods/meals by considering the health and willingness, predict en exercise schedule for the user and forecast health condition for individuals are the main modules of this research project which are made accurate decision support system for food nutritional analysis. According to implementation of this decision support system for food nutritional analysis, using Fatsecret API calls, fetched food items with their nutrient amounts as well as exercise details. Client can be a registered user and enter his weight, age and sex with his health condition to have a diet plan. Not only that if someone need to lose his weight or gain his weight, there also diet plan and exercises schedules. Admin can access these records and keep history data to get the most frequent food items. For the history data, use the advanced data generator for MySql, populate thousands of records to develop the data set for associate data mining. Outputs are when a user has two diseases, then recommended frequent food items for both diseases. Not only that, if a user wants to lose weight or gain weight, then give suggestions for relevant food items and give three or four exercises with time durations to control his body weight. en_US
dc.language.iso en en_US
dc.subject INFORMATION TECHNOLOGY-Dissertations en_US
dc.subject DECISION SUPPORT SYSTEMS-Applications en_US
dc.subject FOOD-Nutritional Analysis en_US
dc.subject nutrient intake en_US
dc.subject dietary patterns en_US
dc.title Accurate decision support system for food nutritional analysis en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree MSc in Information Technology en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2019
dc.identifier.accno TH3920 en_US


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