Machine Learning Classification of First-Episode Schizophrenia Spectrum Disorders and Controls Using Whole Brain White Matter Fractional Anisotropy

0490053 - ÚI 2019 RIV GB eng J - Journal Article
Mikoláš, P. - Hlinka, Jaroslav - Škoch, A. - Pitra, Zbyněk - Frodl, T. - Španiel, F. - Hájek, T.
Machine Learning Classification of First-Episode Schizophrenia Spectrum Disorders and Controls Using Whole Brain White Matter Fractional Anisotropy.
BMC Psychiatry. Roč. 18, 10 April (2018), č. článku 97. E-ISSN 1471-244X
R&D Projects: GA ČR GA17-01251S
Grant - others:GA MŠk(CZ) LO1611; GA MZd(CZ) NV16-32696A
Institutional support: RVO:67985807
Keywords : First-episode schizophrenia spectrum disorders * Diffusion tensor imaging * Support vector machines * Magnetic resonance imaging
OECD category: Neurosciences (including psychophysiology
Impact factor: 2.666, year: 2018

Cited: 1

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Permanent Link: http://hdl.handle.net/11104/0284354