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Classification of First-Episode Schizophrenia Spectrum Disorders and Controls from Whole Brain White Matter Fractional Anisotropy Using Machine Learning
- 1.0475094 - ÚI 2018 US eng A - Abstract
Mikoláš, P. - Hlinka, Jaroslav - Pitra, Z. - Škoch, A. - Frodl, T. - Španiel, F. - Hájek, T.
Classification of First-Episode Schizophrenia Spectrum Disorders and Controls from Whole Brain White Matter Fractional Anisotropy Using Machine Learning.
Biological Psychiatry. Elsevier. Roč. 81, č. 10 (2017), S252-S252. ISSN 0006-3223. E-ISSN 1873-2402.
[Annual Scientific Convention and Meeting of the Society-of-Biological-Psychiatry /72./. 18.05.2017-20.05.2017, San Diego]
Grant - others:GA MŠk(CZ) LO1611
Institutional support: RVO:67985807
Keywords : first episode schizophrenia * machine learning * fractional anisotropy * diffusion tensor imaging (DTI) * support vector machines
Result website:
http://www.sciencedirect.com/science/article/pii/S0006322317306145
Permanent Link: http://hdl.handle.net/11104/0271967File Download Size Commentary Version Access a0475094.pdf 0 36.8 KB Publisher’s postprint open-access
Number of the records: 1