Big data and IoT solution for patient behaviour monitoring. Issue 9 (2nd September 2019)

• Record Type: Journal Article
• Authors: Chui, Kwok Tai; Liu, Ryan Wen; Lytras, Miltiadis D.; Zhao, Mingbo
• Is Part Of: Behaviour & information technology. Volume 38:Issue 9(2019)
• Page Start: 940
• Page End: 949
• Publication Date: 2019-09-02
• Subjects: Behaviour analytics -- big data -- internet of things -- knowledge discovery -- machine learning analytics -- patient monitoring; Electronic data processing -- Periodicals; Human engineering -- Periodicals; Information technology -- Periodicals; 303.4833
• DOI: 10.1080/0144929X.2019.1584245
• Languages: English
• ISSNs: 0144-929X

Abstract

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.