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Dementia

Dementia

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.
The progression of dementia is generally gradual....

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Updated: Feb 19, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Development and Validation of a Machine Learning-Based Dementia Screening Tool: The Six-Question Dementia Screening

Meng-Tien Wu¹, Kuan-Ying Li^2,3, Ching-Fang Chien^2,3,4

¹School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

American Journal of Alzheimer'S Disease and Other Dementias

|February 17, 2026

Summary

A new machine learning tool, the Six-Question Dementia Screening Test (6Q-DS), effectively screens for dementia. This rapid, user-friendly method offers high accuracy, aiding early detection and reducing the burden of cognitive decline.

Keywords:

cognitive impairment dementia early detection machine learning neuropsychological assessment

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Last Updated: Feb 19, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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Published on: November 23, 2019

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

Published on: October 13, 2016

Area of Science:

Neurology
Gerontology
Artificial Intelligence in Medicine

Background:

Timely dementia detection is critical for mitigating health and societal impacts.
Existing screening tools like Mini-Mental State Examination (MMSE) and Cognitive Abilities Screening Instrument (CASI) face limitations due to time and resource constraints.

Purpose of the Study:

To develop and validate a machine learning-based dementia screening tool.
To assess the efficacy of the Six-Question Dementia Screening Test (6Q-DS) as a rapid screening method.

Main Methods:

Development of a machine learning model using eXtreme Gradient Boosting.
Utilized data from 533 older adults at a neurology clinic in Taiwan.
The Six-Question Dementia Screening Test (6Q-DS), a six-item interview, was employed for data collection.

Main Results:

The 6Q-DS demonstrated high performance in distinguishing dementia from non-dementia, achieving an AUC of 0.936, sensitivity of 0.879, specificity of 0.951, and accuracy of 0.907.
For identifying very mild dementia, the 6Q-DS achieved an AUC of 0.874, with sensitivity of 0.818, specificity of 0.805, and accuracy of 0.810.
Performance was comparable to established tools like MMSE and CASI.

Conclusions:

The 6Q-DS is a practical, rapid, and user-friendly tool for dementia screening.
Machine learning application enhances the efficiency of dementia detection.
The 6Q-DS shows promise as an alternative to traditional screening methods.