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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Gérard Amarenco1, Emmanuel Chartier-Kastler, Pierre Denys
1Service de Neuro-Urologie et d'Explorations Périnéales, Hôpital TENON, APHP, France, GREEN UPMC, GRC 01 UPMC.
A new algorithm helps neurologists and GPs manage multiple sclerosis urinary issues. The First-Line Urological Evaluation in Multiple Sclerosis (FLUE-MS) tool aids in early detection and treatment, improving patient quality of life.
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