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Systematic predictive analysis of personalized life expectancy using smart devices

Kang, James Jin and Adibi, Sasan 2018, Systematic predictive analysis of personalized life expectancy using smart devices, Technologies, vol. 6, no. 3, pp. 1-18, doi: 10.3390/technologies6030074.

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Title Systematic predictive analysis of personalized life expectancy using smart devices
Author(s) Kang, James JinORCID iD for Kang, James Jin orcid.org/0000-0002-0242-4187
Adibi, Sasan
Journal name Technologies
Volume number 6
Issue number 3
Start page 1
End page 18
Total pages 18
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2018-09
ISSN 2227-7080
2227-7080
Keyword(s) Life Expectancy (LE)
Personalized Life Expectation (PLE)
Predicted Life Expectancy (PrLE)
Mobile Health (mHealth)
Summary 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.
Language eng
DOI 10.3390/technologies6030074
Field of Research 080702 Health Informatics
080502 Mobile Technologies
080301 Bioinformatics Software
Copyright notice ©2018, the authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30112361

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.