Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications
By Kwok Tai Chui, Wadee Alhalabi Alhalabi, Sally Shuk Han Pang, Patricia Ordóñez de Pablos, Ryan Wen Liu, Mingbo Zhao. 2017
120 citations recorded by the source corpus.
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.
Subfields: Cardiology and Cardiovascular Medicine, Computer Networks and Communications, Health Information Management
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In Cardiology and Cardiovascular Medicine
In Computer Networks and Communications
Citations in the corpus
- Reinforcement Learning in Healthcare: A Survey (2019, background): “advanced big data analysis and machine learning techniques [240], [241], [242].”
- Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities Research (2018, background): “Nevertheless, much more needs to be done to fully exploit it and hence, promote sustainable interdisciplinary smart cities research [17–21].”
- It’s Not a Fad: Smart Cities and Smart Villages Research in European and Global Contexts (2018, background): “In their paper, disease diagnosis in smart healthcare is reviewed and examined in the context of smart cities [10].”