Implementing Recommender System-based Approach for Health Management Mobile Application

Halim Md Abdul, I. Ibrahim., Naoki Fukuta
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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.
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基于推荐系统的健康管理移动应用实现
健康管理是人类生活中必不可少的一项任务,因为我们的日常活动依赖于我们的健康。此外,根据我们的健康状况,我们身体的行为和反应也会发生变化。如果我们身体健康,我们就乐于工作。由于健康的生活在人类生活中是必不可少的,因此保持健康的生活并为此目的进行正确的健康管理是必要的。由于我们已经广泛使用智能手机设备,使用基于智能手机的健康管理应用程序可以通过推荐食物,营养,运动,娱乐等来帮助人们保持健康。在本文中,我们提出了基于推荐系统的健康管理方法的设计和可能的实现。在这里,我们也应该考虑到,有些人有某些健康状况,限制了他们的食物选择。该方法根据用户的个人资料对其进行分类,然后应用推荐算法推荐食物、营养和运动。我们的应用程序会根据用户的疾病风险自动忽略食物和锻炼。通过使用该应用程序,用户可以轻松地保持健康。
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