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• W2766225413 abstract "Owing to the growing increase in the world’s ageing population, research has focused on developing information and communication technology (ICT)–based services for personalized care, improved health, and quality social life for the elderly. Recent efforts explore Big Data in order to build mathematical models of personal behavior and lifestyle for analytics. Leveraging Big Data analytics holds enormous potential for solving some of the biggest and most intractable challenges in personalized elderly care through quantified modeling of a person’s lifestyle in a way that takes cognizance of their beliefs, values, and preferences, and connects to a history of events, things, and places around which they have progressively built their lives. However, the idea of discovering patterns to personalize care and inform critical health care decisions for the elderly is challenged as data grow exponentially in volume, become faster and increasingly unstructured, and are generated from sociodigital engagements that often may not accurately reflect the real-world entities and contexts they represent. As a result, the idea raises issues along several dimensions, including social, technical, and context-aware challenges. In this chapter, we present an overview of the state of the art in personalized elderly care, and explore the opportunities and inherent sociotechnical challenges in leveraging Big Data analytics to support elderly care and independent living. Based on this discussion, and arguing that analytics need to take account of the contexts that shape the generation and use of data, ACTVAGE, a context-aware lifestyle-oriented framework for personalized elderly care and independent living is proposed." @default.
• W2766225413 created "2017-11-10" @default.
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• W2766225413 date "2016-01-01" @default.
• W2766225413 modified "2023-09-24" @default.
• W2766225413 title "Leveraging Big Data Analytics for Personalized Elderly Care" @default.
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• W2766225413 doi "https://doi.org/10.1016/b978-0-12-803468-2.00005-9" @default.
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