AI-Based Severity Classification of Dementia Using Gait Analysis Article Swipe
Gyu-Song Moon
,
Jaesung Cho
,
Hojin Choi
,
Yun Jin Kim
,
Gun‐Do Kim
,
Seong‐Ho Jang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/s25196083
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/s25196083
This study aims to explore the utility of artificial intelligence (AI) in classifying dementia severity based on gait analysis data and to examine how machine learning (ML) can address the limitations of conventional statistical approaches. The study included 34 individuals with mild cognitive impairment (MCI), 25 with mild dementia, 26 with moderate dementia, and 54 healthy controls. A support vector machine (SVM) classifier was employed to categorize dementia severity using gait parameters. As complexity and high dimensionality of gait data increase, traditional statistical methods may struggle to capture subtle patterns and interactions among variables. In contrast, ML techniques, including dimensionality reduction methods such as principal component analysis (PCA) and gradient-based feature selection, can effectively identify key gait features relevant to dementia severity classification. This study shows that ML can complement traditional statistical analyses by efficiently handling high-dimensional data and uncovering meaningful patterns that may be overlooked by conventional methods. Our findings highlight the promise of AI-based tools in advancing our understanding of gait characteristics in dementia and supporting the development of more accurate diagnostic models for complex or large datasets.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s25196083
- https://www.mdpi.com/1424-8220/25/19/6083/pdf?version=1759402141
- OA Status
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- 41
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4414768489Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/s25196083Digital Object Identifier
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AI-Based Severity Classification of Dementia Using Gait AnalysisWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
- Publication date
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2025-10-02Full publication date if available
- Authors
-
Gyu-Song Moon, Jaesung Cho, Hojin Choi, Yun Jin Kim, Gun‐Do Kim, Seong‐Ho JangList of authors in order
- Landing page
-
https://doi.org/10.3390/s25196083Publisher landing page
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https://www.mdpi.com/1424-8220/25/19/6083/pdf?version=1759402141Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1424-8220/25/19/6083/pdf?version=1759402141Direct OA link when available
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0Total citation count in OpenAlex
- References (count)
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41Number of works referenced by this work
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