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An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder

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Brain Informatics (BI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12960))

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Abstract

Face detection and sparse facial feature analysis is popular as a non-invasive approach to diagnosis special disease. In futuristic intelligent healthcare system, the confined way of preliminary computer aided diagnosis of diseases becoming more inclusive and faster than usual time. Therefore, face spacial feature analysis can be an elegant way of measuring attempt in tele-medicine industry. In this research paper, we investigate thorough review on disease diagnosis techniques, healthcare management and, data security features being used currently. Moreover, this work propose a i-health care monitoring and examining system of neuronal/brain disorder in layer base approach. Overall, this paper reviews about diseases which have already been detected by spacial feature of face using deep learning algorithm or feature based learning with a proposal of a monitoring system with its research area and challenges in smart intelligent healthcare system in society 5.0.

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Author information

Authors and Affiliations

  1. Institute of Information Technology, Jahangirngar University, Savar, Dhaka, 1342, Bangladesh

    Shamim Al Mamun & M. Shamim Kaiser

  2. Applied Intelligence and Informatics Lab (AII-Lab), Jahangirngar University, Savar, Dhaka, 1342, Bangladesh

    Shamim Al Mamun & M. Shamim Kaiser

  3. Department of Computer Science, Nottingham Trent University, Clifton Lane, Nottingham, NG118NS, UK

    Mufti Mahmud

  4. Medical Technologies Innovation Facility, Nottingham Trent University, Clifton Lane, Nottingham, NG118NS, UK

    Mufti Mahmud

  5. Computing and Informatics Research Centre, Nottingham Trent University, Clifton Lane, Nottingham, NG118NS, UK

    Mufti Mahmud

Authors
  1. Shamim Al Mamun
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  2. M. Shamim Kaiser
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  3. Mufti Mahmud
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Corresponding author

Correspondence to Shamim Al Mamun .

Editor information

Editors and Affiliations

  1. Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

  2. Jahangirnagar University, Dhaka, Bangladesh

    M Shamim Kaiser

  3. University of Padua, Padua, Italy

    Stefano Vassanelli

  4. Tsinghua University, Beijing, China

    Qionghai Dai

  5. Maebashi Institute of Technology, Maebashi, Japan

    Ning Zhong

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Al Mamun, S., Kaiser, M.S., Mahmud, M. (2021). An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder. In: Mahmud, M., Kaiser, M.S., Vassanelli, S., Dai, Q., Zhong, N. (eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science(), vol 12960. Springer, Cham. https://doi.org/10.1007/978-3-030-86993-9_15

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  • DOI: https://doi.org/10.1007/978-3-030-86993-9_15

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