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Publications by Patrick Schwab

PhoneMD: Learning to Diagnose Parkinson’s Disease From Smartphone Data

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

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A Partial Least-Squares Regression Model to Measure Parkinson’s Disease Motor States Using Smartphone Data

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Rotenone: From Modelling to Implication in Parkinson’s Disease

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Meeting Commentary–“Parkinson’s Disease: From Patient to Product”

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Improved Parkinson’s Disease Classification From Diffusion MRI Data by Fisher Vector Descriptors

Lecture Notes in Computer Science
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Big Data and Parkinson’s Disease: Exploration, Analyses, and Data Challenges.

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AB0916 Whipple Disease: A Rare Disease Difficult to Diagnose

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New Data on the Genetics of Parkinson’s Disease

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Parkinson’s Disease: Insights From Drosophila Model

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Machine Learning Approaches to Predict Lupus Disease Activity From Gene Expression Data

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