A more objective PD diagnostic model: integrating texture feature markers of cerebellar gray matter and white matter through machine learning
Yini Chen,
Yiwei Qi,
Tianbai Li
et al.
Abstract:ObjectiveThe purpose of this study is to explore whether machine learning can be used to establish an effective model for the diagnosis of Parkinson's disease (PD) by using texture features extracted from cerebellar gray matter and white matter, so as to identify subtle changes that cannot be observed by the naked eye.MethodThis study involved a data collection period from June 2010 to March 2023, including 374 subjects from two cohorts. The Parkinson's Progression Markers Initiative (PPMI) served as the train… Show more
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