Use of machine learning method on automatic classification of motor subtype of Parkinson's disease based on multilevel indices of rs-fMRI
This study aimed to develop an automatic classifier to distinguish different motor subtypes of Parkinson's disease (PD) based on multilevel indices of resting-state functional magnetic resonance imaging (rs-fMRI). Ninety-six PD patients, which included thirty-nine postural instability and gait...
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Veröffentlicht in: | Parkinsonism & related disorders 2021-09, Vol.90, p.65-72 |
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Sprache: | eng |
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