TY - JOUR
T1 - Big data and IoT solution for patient behaviour monitoring
AU - Chui, Kwok Tai
AU - Liu, Ryan Wen
AU - Lytras, Miltiadis D.
AU - Zhao, Mingbo
N1 - Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Behaviour analytics
KW - big data
KW - internet of things
KW - knowledge discovery
KW - machine learning analytics
KW - patient monitoring
UR - http://www.scopus.com/inward/record.url?scp=85062357270&partnerID=8YFLogxK
U2 - 10.1080/0144929X.2019.1584245
DO - 10.1080/0144929X.2019.1584245
M3 - Article
AN - SCOPUS:85062357270
SN - 0144-929X
VL - 38
SP - 940
EP - 949
JO - Behaviour and Information Technology
JF - Behaviour and Information Technology
IS - 9
ER -