Personalized healthcare cloud services for disease risk assessment and wellness management using social media
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TLDR
Experimental results exhibit that the proposed framework achieves high accuracy as compared to the state-of-the-art approaches in terms of disease risk assessment and expert user recommendation.About:
This article is published in Pervasive and Mobile Computing.The article was published on 2016-06-01 and is currently open access. It has received 32 citations till now. The article focuses on the topics: Risk assessment & Software as a service.read more
Citations
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Social Media Analytics: Literature Review and Directions for Future Research
TL;DR: A comprehensive review of the SMA empirical literature and directions for future research suggests that novel methods, such as cross-media data classification, tags detection, label priority ranking, tweeting activity signatures, and geospatial data processing have been used less and could be further explored in future research.
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IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry
TL;DR: In this article , the authors present an overview of IoT, big data, and artificial intelligence (AI), and their disruptive role in shaping the future of agri-food systems, including greenhouse monitoring, intelligent farm machines, and drone-based crop imaging.
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IoT-based cloud framework to control Ebola virus outbreak
TL;DR: A novel architecture based on Radio Frequency Identification Device (RFID), wearable sensor technology, and cloud computing infrastructure is proposed for the detection and monitoring of Ebola infected patients to prevent the spreading of the infection at the early stage of the outbreak.
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Analyzing recommender systems for health promotion using a multidisciplinary taxonomy: A scoping review.
Santiago Hors-Fraile,Santiago Hors-Fraile,Octavio Rivera-Romero,Francine Schneider,Luis Fernandez-Luque,Francisco Luna-Perejon,A. Civit-Balcells,Hein de Vries +7 more
TL;DR: The aim of this study is to understand the scientific evidence generated about health recommender systems, to identify any gaps in this field to achieve the United Nations Sustainable Development Goal 3 (SDG3), and to suggest possible reasons for these gaps as well as to propose some solutions.
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A review of the literature on big data analytics in healthcare
TL;DR: An overview of the BDA publication dynamics in the healthcare domain is provided to provide an overview of this scientific field through related examples and a sampling literature review has been conducted.
References
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TL;DR: The Diabetes Risk Score is a simple, fast, inexpensive, noninvasive, and reliable tool to identify individuals at high risk for type 2 diabetes without laboratory tests.