{"title":"Implementing Recommender System-based Approach for Health Management Mobile Application","authors":"Halim Md Abdul, I. Ibrahim., Naoki Fukuta","doi":"10.1109/QIR54354.2021.9716190","DOIUrl":null,"url":null,"abstract":"Health management is one of the essential tasks in human life since our daily activities depend on our health. Also, depending on our health, our bodies’ actions and reactions are changed. If we are healthy, we are pleased to work. Since healthy life is essential in human life, maintaining a healthy life and for that purpose doing the right health management is necessary. Since we already have the widespread use of smartphone devices, using a smartphone-based health management applications can help people maintain their health by recommending food, nutrition, exercise, entertainment, etc. In this paper, we present our design and possible implementations of a recommender system-based approach for health management. Here we should also consider that, some people have certain health conditions that limit their food choices. The presented approach classified users based on their profile then applied a recommendation algorithm to recommend food, nutrition, and exercise. Our application automatically ignores food and exercises based on users’ risk of diseases. By using this application, users can easily maintain their health.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QIR54354.2021.9716190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Health management is one of the essential tasks in human life since our daily activities depend on our health. Also, depending on our health, our bodies’ actions and reactions are changed. If we are healthy, we are pleased to work. Since healthy life is essential in human life, maintaining a healthy life and for that purpose doing the right health management is necessary. Since we already have the widespread use of smartphone devices, using a smartphone-based health management applications can help people maintain their health by recommending food, nutrition, exercise, entertainment, etc. In this paper, we present our design and possible implementations of a recommender system-based approach for health management. Here we should also consider that, some people have certain health conditions that limit their food choices. The presented approach classified users based on their profile then applied a recommendation algorithm to recommend food, nutrition, and exercise. Our application automatically ignores food and exercises based on users’ risk of diseases. By using this application, users can easily maintain their health.