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

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Published on: January 11, 2020

Screening for dementia--is it a no brainer?

C Fox¹, L Lafortune, M Boustani

¹Department of Psychological Sciences, Faculty of Medicine and Health Sciences, Norwich Medical School, University of East Anglia, Norwich, UK.

International Journal of Clinical Practice

|August 20, 2013

Summary

This summary is machine-generated.

Dementia affects millions globally, with numbers expected to double. Early diagnosis is crucial due to a lack of effective dementia treatments, driving research into predictive assessment tools and biomarkers.

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Area of Science:

Gerontology and Neurology
Public Health

Background:

Dementia is a growing societal concern, impacting millions worldwide.
Global dementia prevalence is projected to double every 20 years.
Current treatments do not significantly alter dementia's clinical course.

Purpose of the Study:

To address the increasing societal impact of dementia.
To highlight the importance of early dementia diagnosis.
To explore advancements in diagnostic tools and biomarkers.

Main Methods:

Review of current dementia prevalence data.
Analysis of research trends in diagnostic assessment.
Examination of biomarker research for dementia prediction.

Main Results:

Dementia prevalence is substantial and rising globally.
Research is focusing on early detection methods.
Biomarkers are being investigated for predictive diagnostic capabilities.

Conclusions:

Early diagnosis of dementia is a key focus area.
Advancements in assessment tools and biomarkers are critical.
Understanding the link between pathobiology and clinical presentation is emphasized.