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The role of brain network functional connectivity and machine learning for the classification and characterization of disease phenotypes in patients with multiple sclerosis / Valsasina, P; Marchesi, O; Preziosa, P; Sona, D; Tessadori, J; Yamin, Ma; Filippi, M; Rocca, Ma. - In: MULTIPLE SCLEROSIS. - ISSN 1352-4585. - 27:2_SUPPL(2021), pp. 468-469.

The role of brain network functional connectivity and machine learning for the classification and characterization of disease phenotypes in patients with multiple sclerosis

Preziosa, P;Filippi, M;Rocca, MA
2021-01-01
2021
Inglese
Multiple Sclerosis Journal Volume 27 Issue 2_suppl, October 2021 ECTRIMS 2021
SAGE PUBLICATIONS LTD
1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
27
2_SUPPL
468
469
2
WOS:000706771301350
Esperti anonimi
Goal 3: Good health and well-being
Sì
8
info:eu-repo/semantics/conferenceObject
The role of brain network functional connectivity and machine learning for the classification and characterization of disease phenotypes in patients with multiple sclerosis / Valsasina, P; Marchesi, O; Preziosa, P; Sona, D; Tessadori, J; Yamin, Ma; Filippi, M; Rocca, Ma. - In: MULTIPLE SCLEROSIS. - ISSN 1352-4585. - 27:2_SUPPL(2021), pp. 468-469.
none
274
4 Contributo in Atti di Convegno (Proceeding)::4.2 Abstract in Atti di convegno
Valsasina, P; Marchesi, O; Preziosa, P; Sona, D; Tessadori, J; Yamin, Ma; Filippi, M; Rocca, Ma
4.2 Abstract in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/174279
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