Abstract
With the drastic expansion of mobile technologies, mobile health has become ubiquitous and versatile to revolutionize healthcare for improved health outcomes. This study takes initiatives to investigate a new paradigm of automated mobile health as the process automation of mobile-enabled health interventions. Through the realisation of the paradigm, a novel social reasoning platform with a comprehensive set of design guidelines are proposed for efficient and effective remote health management. The study considerably contributes to the cumulative theoretical development of mobile health and health decision making. It also provides a number of implications for academic bodies, healthcare practitioners, and developers of mobile health.
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CITATION STYLE
Nguyen, H. D., & Poo, D. C. C. (2016). Automated mobile health: Designing a social reasoning platform for remote health management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9742, pp. 34–46). Springer Verlag. https://doi.org/10.1007/978-3-319-39910-2_4
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