Back to search

Article

Identifying Parkinson’s disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering

2021-08-23

Abstract excerpt

Identification of Parkinson’s disease subtypes may help understand underlying disease mechanisms and provide personalized management. Although clustering methods have been previously used for subtyping, they have reported generic subtypes of limited relevance in real life practice because patients do not always fit into a single category. The aim of this study was to identify new subtypes assuming that patients co...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
aa2acead-f1b6-5109-8c97-c682462db624
DOI
10.21203/rs.3.rs-828016/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identifying Parkinson’s disease subtypes with motor and non-motor symptoms via model-based multi-partition clusteringDOI 10.21203/rs.3.rs-828016/v1
Select a neighboring publication to make it the new centre.