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

Title: Data-driven clustering of combined Functional Motor Disorders based on the Italian registry
Authors: 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, Francesca; Ercoli, Tommaso; Defazio, Giovanni; Zappia, Mario; Nicoletti, Alessandra; Tinazzi, Michele
Contributors: 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, Francesca; Ercoli, Tommaso; Defazio, Giovanni; Zappia, Mario; Nicoletti, Alessandra; Tinazzi, Michele
Publication Year: 2022
Collection: Università degli Studi di Verona: Catalogo dei Prodotti della Ricerca (IRIS)
Subject Terms: Functional Motor Disorders; clinical phenotypes; cluster analysis; data-driven phenotyping; functional neurological disorder
Description: 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 to obtain non-hierarchical unbiased classifications. The study aimed to identify clinical subtypes of combined FMDs using a data-driven approach to overcome possible limits related to "a priori" classifications and clinical overlapping.
Document Type: article in journal/newspaper
File Description: ELETTRONICO
Language: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/36518193; info:eu-repo/semantics/altIdentifier/wos/WOS:000920777500001; volume:13; issue:987593; firstpage:1; lastpage:9; numberofpages:9; journal:FRONTIERS IN NEUROLOGY; https://hdl.handle.net/11562/1080769; https://doi.org/10.3389/fneur.2022.987593
DOI: 10.3389/fneur.2022.987593
Availability: https://hdl.handle.net/11562/1080769; https://doi.org/10.3389/fneur.2022.987593
Rights: info:eu-repo/semantics/openAccess ; license:Creative commons ; license uri:http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.2E8E10E6
Database: BASE