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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Dementia and Mild Cognitive Impairment: An Overview].
1Department of Dementia Medicine, Kawasaki Medical School.
Dementia and mild cognitive impairment (MCI) affect aging populations, necessitating urgent public health attention. This review offers practical insights for specialists managing cognitive decline in older adults.
Area of Science:
- Neurology
- Neurosurgery
- Public Health
Background:
- Dementia and mild cognitive impairment (MCI) are prevalent clinical syndromes, particularly in aging societies.
- Japan's demographic shift highlights the urgent need to address cognitive decline in older adults.
- Cognitive impairment poses significant challenges in clinical neurology and neurosurgery.
Purpose of the Study:
- To provide a comprehensive overview of dementia and MCI.
- To focus on key aspects including epidemiology, definition, etiology, progression, diagnosis, and treatment.
- To offer practical insights for neurosurgeons and specialists caring for patients with cognitive impairment.
Main Methods:
- This study is a review article.
- It synthesizes existing literature on dementia and MCI.
- The review covers epidemiology, etiology, diagnosis, treatment, and support.
Main Results:
- The review details the epidemiology and definitions of dementia and MCI.
- It explores various etiologies and disease progression patterns.
- Current diagnostic and treatment strategies, along with post-diagnostic support, are discussed.
Conclusions:
- Addressing cognitive decline in aging populations is a critical public health concern.
- This review provides essential information for clinicians managing dementia and MCI.
- Practical insights are offered to enhance care for patients with cognitive impairment.
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