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Updated: Apr 16, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Speeding the growth of primary mental health prevention
1Johns Hopkins School of Public Health, 703 Hampton House, 624 North Broadway, Baltimore, MD 21205 USA.
Abstract:
While there is a strong case for primary prevention of mental health problems, relatively little mental health scholarship has been devoted to it in the last decade. Efforts to accelerate prevention scholarship could potentially benefit from strengthening pathways for interdisciplinary research; developing new training and working models for mental health professionals; developing a common language for public, policy, and scientific discussion of prevention; learning how to measure the common outcomes of heterogeneous interventions tailored to diverse communities.
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