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Updated: Aug 21, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Dementia screening using computerized tests
1North Carolina Neuropsychiatry, PA, 400 Franklin Square, 1829 East Franklin St, Chapel Hill, NC 27514, USA. tg@ncneuropsych.com
Abstract:
The preclinical phase of dementia usually precedes the clinical diagnosis by many years. Early detection of dementing conditions during this preclinical phase may provide opportunities for treatments that may slow or mitigate progression. Conventional assessment tools usually can only detect dementia when the symptoms are overt and the disease is well-established. Computerized neurocognitive screening tools hold promise for diagnosing dementia in its early phase. The use, performance and development of several computerized screening tools to diagnose and monitor patients with pre-dementias and dementia are reviewed. The ability to accurately assess the presence of dementia clearly has direct relevance to insurance risk assessment and risk management. As new treatments appear, their role in clinical management of dementia patients will increase as well. In a future issue, the differential diagnosis of dementias related to the findings on these screening tools will be reviewed.
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