PDpredictor: Predict Parkinson's Rate of Progression with Ease

★ ☆ ☆ ☆ ☆ | 3 users

Last accessed Apr 03, 2025
Author Ryan Peterson Assistant Professor of Biostatistics, University of Colorado

About the app

PDpredictor is an innovative application that revolutionizes the prediction of Parkinson's Rate of Progression across diverse populations. Designed as a shiny application, PDpredictor offers users a remarkably intuitive and user-friendly interface, ensuring a seamless and efficient experience. By harnessing the power of advanced algorithms and machine learning techniques, PDpredictor enables researchers and clinicians to accurately forecast the progression of Parkinson's disease in individuals. This groundbreaking tool not only enhances the understanding of the disease but also empowers healthcare professionals to make informed decisions and develop personalized treatment strategies. With PDpredictor, the process of predicting Parkinson's Rate of Progression becomes accessible, precise, and incredibly valuable for both researchers and patients alike. This was a submission to The Parkinson's Progression Markers Initiative , which is sponsored by The Michael J. Fox Foundation .

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ShinyAppStore is the leading platform for showcasing and utilizing a wide range of Shiny applications developed with the shiny R package. We will be expanding access to allow shiny apps built with Python as well. Users can submit and explore applications across various categories, add verified apps to their personal library, and enjoy easy access. The platform features well-designed apps with detailed descriptions and evaluations by users. All applications on ShinyAppStore are user-owned and open source, with the source code readily available for download on our GitHub page.
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