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Related Concept Videos

Cognitive Development During Adulthood01:30

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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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Dementia01:30

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Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
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Related Experiment Video

Updated: Jun 5, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Predicting Progression to Dementia Using Auditory Verbal Learning Test in Community-Dwelling Older Adults Based On

Xin-Yan Xie1, Lin-Ya Huang2, Dan Liu1

  • 1Hubei Provincial Clinical Research Center for Alzheimer's Disease (XYX, LYH, DL, GRC, FFH, JZ, JJZ, GBH, JWG, XCL, JYW, DYZ, JL, QQN, DS, SYL, CC, YYC, LX, YMO, XXC, YLZ, YSC, JQL, ZW, QW, YFM, YZ), Tian You Hospital Affiliated to Wuhan University of Science and Technology, Wuhan; Geriatric Hospital Affiliated to Wuhan University of Science and Technology (XYX, DL, GRC, FFH, LX, YMO, XXC, YLZ, JQL, QW, YFM, WT, YZ), Wuhan; School of Public Health (XYX, DL, LX, YMO, YSC, JQL, ZW, YZ), Wuhan University of Science and Technology, Wuhan.

The American Journal of Geriatric Psychiatry : Official Journal of the American Association for Geriatric Psychiatry
|December 7, 2024
PubMed
Summary
This summary is machine-generated.

Machine learning models can predict dementia in older adults using memory tests and demographic data. This approach aids early detection and intervention in primary care settings.

Keywords:
Auditory verbal learning testCommunity-dwelling older adultsDementiaMachine learningPredictive modelProspective cohort studies

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Area of Science:

  • Gerontology
  • Artificial Intelligence
  • Cognitive Science

Background:

  • Dementia diagnosis is challenging in primary healthcare.
  • Early identification of dementia is crucial for timely intervention.

Purpose of the Study:

  • Develop and validate machine learning models to predict dementia in older adults.
  • Identify key predictive features for dementia development from cognitive assessments.

Main Methods:

  • Four machine learning models (logistic regression, decision tree, random forest, gradient-boosted trees) were developed.
  • A cohort of 1,162 older adults with normal cognition was analyzed.
  • Models were validated on an independent cohort (n=1,370) using wrapper feature selection.

Main Results:

  • The random forest model achieved 93% accuracy and an AUC of 0.88 in the primary cohort.
  • External validation showed acceptable performance for random forest (AUC=0.81).
  • Logistic regression performed better in the validation cohort with an AUC of 0.88.

Conclusions:

  • Machine learning provides a viable strategy for dementia prediction in primary care.
  • Memory tests and demographic data are key predictors.
  • This framework supports cognitive change monitoring and early intervention.