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eNauka >  Results >  Revealing structural and clinical heterogeneity in the spectrum of neuromyelitis optica with unsupervised machine learning
Title: Revealing structural and clinical heterogeneity in the spectrum of neuromyelitis optica with unsupervised machine learning
Authors: Cacciaguerra, Laura; Rocca, Maria A; Pagani, Elisabetta; Radaelli, Marta; Mesaros, Sarlota T; Martinelli, Vittorio; Falini, Andrea; Ivanovic, Jovana B; Filippi, Massimo
Issue Date: 2021
Publication: MULTIPLE SCLEROSIS JOURNAL
ISSN: 1352-4585 Multiple Sclerosis Search Idenfier
Type: Conference Paper
Collation: vol. 429 br. 2_SUPPL str. 118083-118083
DOI: 10.1016/j.jns.2021.118083
WoS-ID: 000706771300019
URI: https://enauka.gov.rs/handle/123456789/797298
Metadata source: (Preuzeto iz Nasi u WoS)
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