Comprehensive subtyping of Parkinson's disease patients with similarity fusion: a case study with BioFIND data.

ABSTRACT: Parkinson's disease (PD) is a complex neurodegenerative disorder with diverse clinical manifestations. To better understand this disease, research has been done to categorize, or subtype, patients, using an array of criteria derived from clinical assessments and biospecimen analyses. In this study, using data from the BioFIND cohort, we aimed at identifying subtypes of moderate-to-advanced PD via comprehensively considering motor and non-motor manifestations. A total of 103 patients were included for analysis. Through the use of a patient-wise similarity matrix fusion technique and hierarchical agglomerative clustering analysis, three unique subtypes emerged from the clustering results. Subtype I, comprised of 60 patients (~58.3%), was characterized by mild symptoms, both motor and non-mot

SUBMITTER: Brendel M 

PROVIDER: S-EPMC8448859 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature