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Updated: Jun 10, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Blocking progression from intervenable mild cognitive impairment to irreversible dementia, what can we do?
Yaohan Peng1, Peipei Song2,3, Takashi Karako2,3
1Key Laboratory of Plateau Hypoxia Environment and Life and Health, Xizang Minzu University, Xianyang, Shaanxi, China.
Abstract:
With the rapid growth of the elderly population, dementia has become a global challenge that governments must address. Given the incurable nature of dementia, rehabilitation interventions starting in the mild cognitive impairment (MCI) stage may offer a solution. For a rehabilitation intervention to be implemented as early as possible, existing problems of identification of MCI and development of MCI-specific forms of rehabilitation must be addressed. Use of computer technologies such as virtual reality and artificial intelligence might be helpful in overcoming these problems. Multi-disciplinary integrated approaches to rehabilitation should be the direction that dementia-related rehabilitation takes in the future. In addition to early rehabilitation, prevention of cognitive decline through the development of public community-based services for the elderly might be a more reasonable approach.
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