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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Alcohol induced neurocognitive disorder: screening strategies and tools]
Nicolas Cabé1, Alice Laniepce2, Céline Boudehent1
1Normandie Univ, UNICAEN, PSL Research University, EPHE, Inserm, U1077, CHU de Caen, Neuropsychologie et imagerie de la mémoire humaine, Caen, France.
Abstract:
Alcohol induced neurocognitive disorder: screening strategies and tools. Chronic and excessive alcohol consumption results in cognitive disorders partially reversible with abstinence. These heterogeneous cognitive impairments affect executive functions, episodic memory and social cognition. They may interfere with the motivational process to abandon excessive drinking behavior, impair patients' ability to benefit from treatment and increase the risk of relapse. Alcohol-related neuropsychological deficits should thus be evaluated and considered for personalized alcohol treatment. Several screening tools available in clinical settings enable clinicians to detect patients with cognitive impairments and to offer them appropriate and adjusted treatment.
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