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Soft Computing Framework for Digital Healthcare System

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Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023 (AISI 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 184))

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Abstract

This Paper addresses the problem related to determination of dependency and relationship between diseases. Towards achieving the above objective, we propose Fuzzy Data Mining Approach.

The contribution of this paper lies in the exploration of soft computing framework in addressing the vexing and often unresolved healthcare concerns. In today’s age and also in the foreseeable future, the resolution lies in healthcare based on digital systems. The differentiation of the paper lies in proposing a soft computing framework based digital system for healthcare.

The paper not only considers fuzzy clustering mechanism, but also adopts a differentiated and hitherto seldom explored approach of data mining model based on fuzzy relational databases.

We look at various perspectives and dimensions that would facilitate healthcare, such as the geographic penetration of diseases and similarity measures of the same, such that providers of healthcare systems may focus their efforts on incidence of certain diseases, based on dimensions such as geography, demography etc.

Thus, this work provides a novel and hitherto seldom unexplored differentiated approach of digital healthcare system.

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Author information

Authors and Affiliations

  1. MDI Murshidabad, Murshidabad, West Bengal, India

    Debasis Chanda

  2. School of Computing and Information Technology, Eastern International University, Thủ Dầu Một, Binh Duong, Vietnam

    Narayan C. Debnath

Authors
  1. Debasis Chanda
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  2. Narayan C. Debnath
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Corresponding author

Correspondence to Debasis Chanda .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Cairo University, Giza, Egypt

    AboulElla Hassanien

  2. Port Said University, Port Fouad City, Egypt

    Rawya Y. Rizk

  3. Department of Operations Research and Statistics, The University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia

    Dragan Pamucar

  4. Faculty of Science, Helwan University, Cairo, Egypt

    Ashraf Darwish

  5. Shulin District, Fujian University of Technology, New Taipei, Taiwan

    Kuo-Chi Chang

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Chanda, D., Debnath, N.C. (2023). Soft Computing Framework for Digital Healthcare System. In: Hassanien, A., Rizk, R.Y., Pamucar, D., Darwish, A., Chang, KC. (eds) Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023. AISI 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-031-43247-7_30

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