research-article

Explanation-Driven HCI Model to Examine the Mini-Mental State for Alzheimer’s Disease

Authors:

Bhandari Mohan,

Bhadwal Singh Shikhar,

Mohammad Shorfuzzaman,

Mehedi MasudAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications and Applications, Volume 20, Issue 2

Article No.: 41, Pages 1 - 16

https://doi.org/10.1145/3527174

Published: 26 September 2023 Publication History

Abstract

Directing research on Alzheimer’s disease toward only early prediction and accuracy cannot be considered a feasible approach toward tackling a ubiquitous degenerative disease today. Applying deep learning (DL), Explainable artificial intelligence, and advancing toward the human-computer interface (HCI) model can be a leap forward in medical research. This research aims to propose a robust explainable HCI model using SHAPley additive explanation, local interpretable model-agnostic explanations, and DL algorithms. The use of DL algorithms—logistic regression (80.87%), support vector machine (85.8%), k-nearest neighbor (87.24%), multilayer perceptron (91.94%), and decision tree (100%)—and explainability can help in exploring untapped avenues for research in medical sciences that can mold the future of HCI models. The presented model’s results show improved prediction accuracy by incorporating a user-friendly computer interface into decision-making, implying a high significance level in the context of biomedical and clinical research.

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Walha AAyadi MAlshalali TSaidani OJamel LAlmujally NKsibi AZakariah M(2025)Deep Learning and Machine Learning Architectures for Dementia Detection from Speech in WomenComputer Modeling in Engineering & Sciences10.32604/cmes.2025.060545142:3(2959-3001)Online publication date: 2025
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Index Terms

Explanation-Driven HCI Model to Examine the Mini-Mental State for Alzheimer’s Disease
1. Computing methodologies
  1. Artificial intelligence
2. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 20, Issue 2

February 2024

548 pages

EISSN:1551-6865

DOI:10.1145/3613570

Editor:
Abdulmotaleb El Saddik
Mohamed Bin Zayed University of Artificial Intelligence, UAE and University of Ottawa, Canada

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Publication History

Published: 26 September 2023

Online AM: 01 April 2022

Accepted: 14 March 2022

Revised: 12 February 2022

Received: 15 October 2021

Published in TOMM Volume 20, Issue 2

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Basnin NMahmud TIslam RAndersson K(2025)An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under UncertaintyDiagnostics10.3390/diagnostics1501008015:1(80)Online publication date: 1-Jan-2025
https://doi.org/10.3390/diagnostics15010080
Walha AAyadi MAlshalali TSaidani OJamel LAlmujally NKsibi AZakariah M(2025)Deep Learning and Machine Learning Architectures for Dementia Detection from Speech in WomenComputer Modeling in Engineering & Sciences10.32604/cmes.2025.060545142:3(2959-3001)Online publication date: 2025
https://doi.org/10.32604/cmes.2025.060545
Camargo GNgo QPassos LJodas DPapa JKumar D(2025)Facial Expression Analysis in Parkinson's Disease Using Machine Learning: A ReviewACM Computing Surveys10.1145/3716818Online publication date: 14-Feb-2025
https://dl.acm.org/doi/10.1145/3716818
Hassan NMiah ASuzuki TShin J(2025)Gradual Variation-Based Dual-Stream Deep Learning for Spatial Feature Enhancement With Dimensionality Reduction in Early Alzheimer’s Disease DetectionIEEE Access10.1109/ACCESS.2025.354245813(31701-31717)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2025.3542458
Sangle SKachare PPuri DAl-Shoubarji IJabbari AKirner R(2025)Explaining electroencephalogram channel and subband sensitivity for alcoholism detectionComputers in Biology and Medicine10.1016/j.compbiomed.2025.109826188(109826)Online publication date: Apr-2025
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Hassan SAbdulkadir SZahid MAl-Selwi S(2025)Local interpretable model-agnostic explanation approach for medical imaging analysisComputers in Biology and Medicine10.1016/j.compbiomed.2024.109569185:COnline publication date: 1-Feb-2025
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Mahmud TBarua KHabiba SSharmen NHossain MAndersson K(2024)An Explainable AI Paradigm for Alzheimer’s Diagnosis Using Deep Transfer LearningDiagnostics10.3390/diagnostics1403034514:3(345)Online publication date: 5-Feb-2024
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Vimbi VShaffi NMahmud M(2024)Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detectionBrain Informatics10.1186/s40708-024-00222-111:1Online publication date: 5-Apr-2024
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