#8652. Discovery of Parkinsons disease states and disease progression modelling: a longitudinal data study using machine learning

November 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript3510 $

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Journal’s subject area:
Decision Sciences (miscellaneous);
Health Informatics;
Medicine (miscellaneous);
Health Information Management;
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Abstract:
We developed a statistical progression model of early Parkinsons disease that accounts for intra-individual and inter-individual variability and medication effects. The model includes eight disease states, primarily differentiated by functional impairment, tremor, bradykinesia, and neuropsychiatric measures.
Keywords:
Parkinsons disease; disease state; progression; medication effect

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