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A Comparative Analysis of Classification Algorithms for Dementia Prediction

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Innovations in Bio-Inspired Computing and Applications (IBICA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 649))

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Abstract

Dementia is a progressive and chronic condition that affects the ability to perform various cognitive functions. It can affect various aspects of thinking, memory, and orientation. According to the World Health Organization, dementia is regarded as one of the leading causes of death among older people. It has various economic, social, and psychological impacts, hence efficient models are required for early detection of dementia. In published literature so far, limited types of approaches for dementia classification are discussed and compared. This paper can be considered as a supporting guide for researchers who are planning to analyze MRI data for prediction of Dementia. Detailed results with respect to variety of performance evaluation measures are shared that can help the researchers to select the best-suited algorithm for their research. A publicly available Open Access Series of Imaging Studies (OASIS) longitudinal dataset is used for cross- validation.

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Authors and Affiliations

  1. MPSTME, NMIMS, Vile Parle(W), Mumbai, India

    Prashasti Kanikar, Manoj Sankhe & Deepak Patkar

Authors
  1. Prashasti Kanikar
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  2. Manoj Sankhe
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  3. Deepak Patkar
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Corresponding author

Correspondence to Prashasti Kanikar .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Data Science, Flame University, Pune, Maharashtra, India

    Ajith Abraham

  2. Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Anu Bajaj

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

  4. Interdisciplinary Studies Research Center (ISRC), Institute of Engineering, Polytechnique of Porto (ISEP/P.PORTO), INOV (Institute for Systems and Computer Engineering, Technology and Science), Porto, Portugal

    Ana Maria Madureira

  5. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Türkiye

    Cengiz Kahraman

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Kanikar, P., Sankhe, M., Patkar, D. (2023). A Comparative Analysis of Classification Algorithms for Dementia Prediction. In: Abraham, A., Bajaj, A., Gandhi, N., Madureira, A.M., Kahraman, C. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2022. Lecture Notes in Networks and Systems, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-031-27499-2_61

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