Data-driven clustering of combined Functional Motor Disorders based on the Italian registry

INTRODUCTION: Functional Motor Disorders (FMDs) represent nosological entities with no clear phenotypic characterization, especially in patients with multiple (combined FMDs) motor manifestations. A data-driven approach using cluster analysis of clinical data has been proposed as an analytic method...

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Detalles Bibliográficos
Autores principales: Mostile, Giovanni, Geroin, Christian, Erro, Roberto, Luca, Antonina, Marcuzzo, Enrico, Barone, Paolo, Ceravolo, Roberto, Mazzucchi, Sonia, Pilotto, Andrea, Padovani, Alessandro, Romito, Luigi Michele, Eleopra, Roberto, Dallocchio, Carlo, Arbasino, Carla, Bono, Francesco, Bruno, Pietro Antonio, Demartini, Benedetta, Gambini, Orsola, Modugno, Nicola, Olivola, Enrica, Bonanni, Laura, Albanese, Alberto, Ferrazzano, Gina, De Micco, Rosa, Zibetti, Maurizio, Calandra-Buonaura, Giovanna, Petracca, Martina, Morgante, Francesca, Esposito, Marcello, Pisani, Antonio, Manganotti, Paolo, Stocchi, Fabrizio, Coletti Moja, Mario, Di Vico, Ilaria Antonella, Tesolin, Lucia, De Bertoldi, Francesco, Ercoli, Tommaso, Defazio, Giovanni, Zappia, Mario, Nicoletti, Alessandra, Tinazzi, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742245/
https://www.ncbi.nlm.nih.gov/pubmed/36518193
http://dx.doi.org/10.3389/fneur.2022.987593

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