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A Model for Classifying People at Risk of Diabetes Mellitus Using Social Media Analytics

机译:使用社交媒体分析对糖尿病患者危险的模型

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Telemedicine, Electronic Health Records (EHR) and social media seem to have a promising direction for an intensive approach to deal with diabetes. With the rapid advances in ICT, various diabetes information systems have evolved. The availability of new technologies for monitoring and treating diabetes is helping to achieve recommended metabolic control. The usage of social media in healthcare is also gaining much popularity as people wish to share their ideas and ask for advice with others having the same disease. The paper therefore presents a model for classifying people who could potentially be at risk of Diabetes Mellitus using social media analytics. A prototype has been implemented based on the model.
机译:远程医疗,电子健康记录(EHR)和社交媒体似乎有一个有希望的方向,用于处理糖尿病的密集方法。随着ICT的快速进步,各种糖尿病信息系统已经进化。用于监测和治疗糖尿病的新技术的可用性有助于实现推荐的代谢控制。当人们希望分享他们的想法并询问与具有同样疾病的其他人的建议时,社交媒体的使用也取得了很多人们。因此,本文呈现了一种分类,用于使用社交媒体分析对糖尿病患有糖尿病风险的分类。基于该模型实现了原型。

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