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Updated: Feb 19, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Prevention of Alzheimer's disease: moving backward through the lifespan
Alina Solomon1, Miia Kivipelto, Hilkka Soininen
1Department of Neurology, University of Eastern Finland, Kuopio, Finland.
Abstract:
This is a brief summary of experiences from Finland related to Alzheimer's disease (AD) prevention research. The first signals that AD may have vascular modifiable risk factors came from studies on cardiovascular conditions and diabetes. Cardiovascular prevention projects such as North Karelia Project and WHO-MONICA in the 1970-1980 s were focused on younger populations, which led to the idea of looking for risk factors as far back as middle age. Cardiovascular Risk Factors, Aging and Incidence of Dementia (CAIDE) is one of the few studies in the world focusing on late-life cognition with a large and representative population-based cohort, baseline examination at midlife, and follow-up time up to three decades. Since 1998, it has identified several modifiable risk factors for cognitive impairment/dementia, and produced the first risk score for estimating dementia risk based on midlife profiles. The CAIDE Dementia Risk Score has been used to select participants in the Finnish Geriatric Intervention Study to prevent cognitive impairment and disability (FINGER). FINGER is an ongoing multicenter RCT involving 1,200 participants aged 60-77 years, and testing the effects of a two-year multi-domain intervention targeting several risk factors simultaneously. It started in September 2009 and will be completed at the end of 2013. The FINGER study is at the forefront of international collaborative efforts to solve the clinical and public health problems of early identification of individuals at increased risk of late-life cognitive impairment, and of developing intervention strategies to prevent or delay the onset of cognitive impairment and dementia.
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