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Updated: Sep 2, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Current perspectives on non-pharmacological approaches to cognitive impairment]
E A Gileva1, E A Kovalenko1,2, E V Makhnovich1,2
1Federal Center for Brain and Neurotechnologies of the Federal Medical-Biological Agency of Russia, Moscow, Russia.
Abstract:
Cognitive impairment (CI) is increasingly recognized as a significant public health issue. Despite extensive research into its causes, mechanisms, and risk factors, along with advancements in pharmacological treatments for associated conditions, preventing or slowing the progression of cognitive decline often cannot be achieved through medication alone. Consequently, non-pharmacological strategies are also employed to support cognitive health in patients with cognitive disorders. This literature review explores the most effective non-drug therapies for cognitive impairment, as well as potential combinations of these approaches.
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