Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

One of the promising opportunities of digital health is its potential to lead to more holistic understandings of diseases by interacting with the daily life of patients and through the collection of large amounts of real-world data. Validating and benchmarking indicators of disease severity in the h...

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Detalles Bibliográficos
Autores principales: Sieberts, Solveig K., Borzymowski, Henryk, Guan, Yuanfang, Huang, Yidi, Matzner, Ayala, Page, Alex, Bar-Gad, Izhar, Beaulieu-Jones, Brett, El-Hanani, Yuval, Goschenhofer, Jann, Javidnia, Monica, Keller, Mark S., Li, Yan-chak, Saqib, Mohammed, Smith, Greta, Stanescu, Ana, Venuto, Charles S., Zielinski, Robert, Jayaraman, Arun, Evers, Luc J. W., Foschini, Luca, Mariakakis, Alex, Pandey, Gaurav, Shawen, Nicholas, Synder, Phil, Omberg, Larsson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047543/
https://www.ncbi.nlm.nih.gov/pubmed/36976789
http://dx.doi.org/10.1371/journal.pdig.0000208

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047543/
https://www.ncbi.nlm.nih.gov/pubmed/36976789
http://dx.doi.org/10.1371/journal.pdig.0000208

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