Data-driven stratification of Parkinson’s disease patients based on the progression of motor and cognitive disease markers

Data-driven stratification of Parkinson’s disease patients based on the progression of motor and cognitive disease markers

Parkinson’s disease (PD) is a progressive neurodegenerative movement disorder with a complex set of motor and non-motor symptoms and a diverse disease progression. Subtyping PD patients is required for personalized therapies but stratification approaches based on intermediate phenotypes such as clin...

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Bibliographic Details
Main Authors: Krasniqi, Erenik, Schramm, Wendelin, Reichenbach, Alexandra
Format: Article
Language:deu
Published: German Medical Science GMS Publishing House 2021-05-01
Series:GMS Medizinische Informatik, Biometrie und Epidemiologie
Subjects:
parkinson's disease (pd)
ppmi
stratification
subtypes
biomarker
machine learning
clustering
Online Access:http://www.egms.de/static/en/journals/mibe/2021-17/mibe000218.shtml

Internet

http://www.egms.de/static/en/journals/mibe/2021-17/mibe000218.shtml

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