Identifying clinical features and blood biomarkers associated with mild cognitive impairment in Parkinson's Disease using machine learning.

Our study highlighted the strong association between TG, APOA1, SNCA rs6826785 and PD-MCI by machine learning approach. Screening and management of high TG and ApoA1 levels might help prevent the cognitive impairment in early PD patients. SNCA rs6826785 could be a novel therapeutic target for PD-MCI. ShapleyVIC-assisted variable selection is a novel and robust alternative to traditional approaches for future clinical study to prioritize the variables of interests.