Big data and IoT solution for patient behaviour monitoring
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 940–949 |
Journal / Publication | Behaviour and Information Technology |
Volume | 38 |
Issue number | 9 |
Online published | 27 Feb 2019 |
Publication status | Published - 2019 |
Link(s)
Abstract
The study of patient behaviours (vital sign, physical action and emotion) is crucial to improve one’s quality of life. The only solution for handling and managing millions of people’s behaviours and health would be big data and IoT technology because most of the countries are lack of medical professionals. In this paper, a big data and IoT-based patient behaviour monitoring system have proposed. Qualitative studies are carried out on the selected behaviours analytics, cardiovascular disease identification and fall detection. At last, authors have summarised the general challenges like trust, privacy, security and interoperability as well as special challenges in various sectors: government, legislators, research institutions, information technology companies and patients.
Research Area(s)
- Behaviour analytics, big data, internet of things, knowledge discovery, machine learning analytics, patient monitoring
Citation Format(s)
Big data and IoT solution for patient behaviour monitoring. / Chui, Kwok Tai; Liu, Ryan Wen; Lytras, Miltiadis D. et al.
In: Behaviour and Information Technology, Vol. 38, No. 9, 2019, p. 940–949.
In: Behaviour and Information Technology, Vol. 38, No. 9, 2019, p. 940–949.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review