TY - JOUR
T1 - Disease diagnosis in smart healthcare
T2 - Innovation, technologies and applications
AU - Chui, Kwok Tai
AU - Alhalabi, Wadee
AU - Pang, Sally Shuk Han
AU - de Pablos, Patricia Ordóñez
AU - Liu, Ryan Wen
AU - Zhao, Mingbo
N1 - Publisher Copyright:
© 2017 by the authors.
PY - 2017/12/18
Y1 - 2017/12/18
N2 - To promote sustainable development, the smart city implies a global vision that merges artificial intelligence, big data, decision making, information and communication technology (ICT), and the internet-of-things (IoT). The ageing issue is an aspect that researchers, companies and government should devote efforts in developing smart healthcare innovative technology and applications. In this paper, the topic of disease diagnosis in smart healthcare is reviewed. Typical emerging optimization algorithms and machine learning algorithms are summarized. Evolutionary optimization, stochastic optimization and combinatorial optimization are covered. Owning to the fact that there are plenty of applications in healthcare, four applications in the field of diseases diagnosis (which also list in the top 10 causes of global death in 2015), namely cardiovascular diseases, diabetes mellitus, Alzheimer's disease and other forms of dementia, and tuberculosis, are considered. In addition, challenges in the deployment of disease diagnosis in healthcare have been discussed.
AB - To promote sustainable development, the smart city implies a global vision that merges artificial intelligence, big data, decision making, information and communication technology (ICT), and the internet-of-things (IoT). The ageing issue is an aspect that researchers, companies and government should devote efforts in developing smart healthcare innovative technology and applications. In this paper, the topic of disease diagnosis in smart healthcare is reviewed. Typical emerging optimization algorithms and machine learning algorithms are summarized. Evolutionary optimization, stochastic optimization and combinatorial optimization are covered. Owning to the fact that there are plenty of applications in healthcare, four applications in the field of diseases diagnosis (which also list in the top 10 causes of global death in 2015), namely cardiovascular diseases, diabetes mellitus, Alzheimer's disease and other forms of dementia, and tuberculosis, are considered. In addition, challenges in the deployment of disease diagnosis in healthcare have been discussed.
KW - Automation
KW - Computational intelligence
KW - Data analysis
KW - Data mining
KW - Disease diagnosis
KW - Healthcare
KW - Smart city
KW - Smart living
KW - Social progress
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85038434384&partnerID=8YFLogxK
U2 - 10.3390/su9122309
DO - 10.3390/su9122309
M3 - Review article
AN - SCOPUS:85038434384
VL - 9
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 12
M1 - 2309
ER -
