Visualization and Analysis of Parkinson’s Disease Status and Therapy Patterns

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Abstract

Parkinson’s disease is a neurodegenerative disease affecting people worldwide. Since the reasons for Parkinson’s disease are still unknown and currently there is no cure for the disease, the management of the disease is directed towards handling of the underlying symptoms with antiparkinson medications. In this paper, we present a method for visualization of the patients’ overall status and their antiparkinson medications therapy. The purpose of the proposed visualization method is multi-fold: understanding the clinicians’ decisions for therapy modifications, identification of the underlying guidelines for management of Parkinson’s disease, as well as identifying treatment differences between groups of patients. The resulting patterns of disease progression show that there are differences between male and female patients.

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Valmarska, A., Miljkovic, D., Robnik–Šikonja, M., & Lavrač, N. (2018). Visualization and Analysis of Parkinson’s Disease Status and Therapy Patterns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11198 LNAI, pp. 466–479). Springer Verlag. https://doi.org/10.1007/978-3-030-01771-2_30

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