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Artificial Intelligence and Data Mining Techniques for the Well-Being of Elderly

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IoT for Elderly, Aging and eHealth

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 108))

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Abstract

The Healthcare sector is one of the important service sectors in the world. Advanced technologies, i.e. artificial intelligence (AI) and data mining techniques, have been implemented to improve the reliability and quality of delivering healthcare-related services. The objective of AI in healthcare is to analyse complex health and medical data by using computational algorithms that mimic human cognitive functions. In comparison, data mining techniques is the process of pattern discovery and extraction from a huge amount of data. In this chapter, the four types of AI and three types of data mining techniques are reviewed, and the applications of such techniques in the healthcare industry are also discussed.

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Author information

Authors and Affiliations

  1. The Hang Seng University of Hong Kong, Shatin, Hong Kong

    C. H. WU

  2. The Hang Seng University of Hong Kong, Shatin, Hong Kong

    Cathy H. Y. LAM

  3. Technical University of Catalonia, Barcelona, Spain

    Fatos XHAFA

  4. The Hang Seng University of Hong Kong, Shatin, Hong Kong

    Valerie TANG

  5. The Hong Kong Polytechnic University, Hung Hom, Hong Kong

    W. H. IP

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  1. C. H. WU
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  2. Cathy H. Y. LAM
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  3. Fatos XHAFA
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  4. Valerie TANG
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  5. W. H. IP
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Editor information

Editors and Affiliations

  1. The Hang Seng University of Hong Kong, Shatin, Hong Kong

    C.H. Wu

  2. The Hang Seng University of Hong Kong, Shatin, Hong Kong

    Cathy H.Y. Lam

  3. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  4. The Hang Seng University of Hong Kong, Shatin, Hong Kong

    Valerie Tang

  5. The Hong Kong Polytechnic University, Hung Hom, Hong Kong

    W.H. Ip

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WU, C.H., LAM, C.H.Y., XHAFA, F., TANG, V., IP, W.H. (2022). Artificial Intelligence and Data Mining Techniques for the Well-Being of Elderly. In: Wu, C., Lam, C.H., Xhafa, F., Tang, V., Ip, W. (eds) IoT for Elderly, Aging and eHealth. Lecture Notes on Data Engineering and Communications Technologies, vol 108. Springer, Cham. https://doi.org/10.1007/978-3-030-93387-6_6

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