Results of a new study have shown the enormous potential of smartphone-collected, real-world data for the differentiation of patients with Parkinson disease from controls. This study spearheads a new phase for the evaluation of symptoms associated with Parkinson disease that is patient-centred, digital, objective, continuous and relevant to everyday life.
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Maetzler, W., Pilotto, A. Digital assessment at home — mPower against Parkinson disease. Nat Rev Neurol 17, 661–662 (2021). https://doi.org/10.1038/s41582-021-00567-9
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DOI: https://doi.org/10.1038/s41582-021-00567-9
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Classification of Parkinson’s disease and its stages using machine learning
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