Number of the records: 1
Machine Learning Classification of First-Episode Schizophrenia Spectrum Disorders and Controls Using Whole Brain White Matter Fractional Anisotropy
- 1.
SYSNO 0490053 Title Machine Learning Classification of First-Episode Schizophrenia Spectrum Disorders and Controls Using Whole Brain White Matter Fractional Anisotropy Author(s) Mikoláš, P. (CZ)
Hlinka, Jaroslav (UIVT-O) RID, SAI, ORCID
Škoch, A. (CZ)
Pitra, Zbyněk (UIVT-O) RID, ORCID, SAI
Frodl, T. (DE)
Španiel, F. (CZ)
Hájek, T. (CZ)Corespondence/senior Hájek, T. - Korespondující autor Source Title BMC Psychiatry. Roč. 18, 10 April (2018) Article number 97 Document Type Článek v odborném periodiku Grant LO1611, CZ - Czech Republic GA17-01251S GA ČR - Czech Science Foundation (CSF) NV16-32696A, CZ - Czech Republic Institutional support UIVT-O - RVO:67985807 Language eng Country GB Keywords First-episode schizophrenia spectrum disorders * Diffusion tensor imaging * Support vector machines * Magnetic resonance imaging Permanent Link http://hdl.handle.net/11104/0284354 File Download Size Commentary Version Access a0490053.pdf 11 1.6 MB Publisher’s postprint open-access
Number of the records: 1