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Technologies 2018, 6(3), 74; https://doi.org/10.3390/technologies6030074

Systematic Predictive Analysis of Personalized Life Expectancy Using Smart Devices

School of Information Technology, Deakin University, Burwood, VIC 3125, Australia
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Received: 19 July 2018 / Revised: 3 August 2018 / Accepted: 9 August 2018 / Published: 10 August 2018
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Abstract

With the emergence of technologies such as electronic health and mobile health (eHealth/mHealth), cloud computing, big data, and the Internet of Things (IoT), health related data are increasing and many applications such as smartphone apps and wearable devices that provide wellness and fitness tracking are entering the market. Some apps provide health related data such as sleep monitoring, heart rate measuring, and calorie expenditure collected and processed by the devices and servers in the cloud. These requirements can be extended to provide a personalized life expectancy (PLE) for the purpose of wellbeing and encouraging lifestyle improvement. No existing works provide this PLE information that is developed and customized for the individual. This article is based on the concurrent models and methodologies to calculate and predict life expectancy (LE) and proposes an idea of using multi-phased approaches to the solution as the project requires an immense and broad range of work to accomplish. As a result, the current prediction of LE, which was found to be up to a maximum of five years could potentially be extended to a lifetime prediction by utilizing generic health data. In this article, the novel idea of the solution proposing a PLE on an individual basis, which can be extended to lifetime is presented in addition to the existing works. View Full-Text
Keywords: Life Expectancy (LE); Personalized Life Expectation (PLE); Predicted Life Expectancy (PrLE); Mobile Health (mHealth) Life Expectancy (LE); Personalized Life Expectation (PLE); Predicted Life Expectancy (PrLE); Mobile Health (mHealth)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Kang, J.J.; Adibi, S. Systematic Predictive Analysis of Personalized Life Expectancy Using Smart Devices. Technologies 2018, 6, 74.

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