Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disea...
Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge
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Author / Creator
Parkinson’s Disease Digital Biomarker Challenge Consortium , the Parkinson’s Disease Digital Biomarker Challenge Consortium , Sieberts, Solveig K. , Schaff, Jennifer , Duda, Marlena , Pataki, Bálint Ármin , Sun, Ming , Snyder, Phil , Daneault, Jean-Francois , Parisi, Federico , Costante, Gianluca , Rubin, Udi , Banda, Peter , Chae, Yooree , Chaibub Neto, Elias , Dorsey, E. Ray , Aydın, Zafer , Chen, Aipeng , Elo, Laura L. , Espino, Carlos , Glaab, Enrico , Goan, Ethan , Golabchi, Fatemeh Noushin , Görmez, Yasin , Jaakkola, Maria K. , Jonnagaddala, Jitendra , Klén, Riku , Li, Dongmei , McDaniel, Christian , Perrin, Dimitri , Perumal, Thanneer M. , Rad, Nastaran Mohammadian , Rainaldi, Erin , Sapienza, Stefano , Schwab, Patrick , Shokhirev, Nikolai , Venäläinen, Mikko S. , Vergara-Diaz, Gloria , Zhang, Yuqian , Wang, Yuanjia , Guan, Yuanfang , Brunner, Daniela , Bonato, Paolo , Mangravite, Lara M. and Omberg, Larsson
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
Consumer wearables and sensors are a rich source of data about patients’ daily disease and symptom burden, particularly in the case of movement disorders like Parkinson’s disease (PD). However, interpreting these complex data into so-called
digital biomarkers
requires complicated analytical approaches, and validating these biomarkers requires...
Alternative Titles
Full title
Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge
Authors, Artists and Contributors
Author / Creator
the Parkinson’s Disease Digital Biomarker Challenge Consortium
Sieberts, Solveig K.
Schaff, Jennifer
Duda, Marlena
Pataki, Bálint Ármin
Sun, Ming
Snyder, Phil
Daneault, Jean-Francois
Parisi, Federico
Costante, Gianluca
Rubin, Udi
Banda, Peter
Chae, Yooree
Chaibub Neto, Elias
Dorsey, E. Ray
Aydın, Zafer
Chen, Aipeng
Elo, Laura L.
Espino, Carlos
Glaab, Enrico
Goan, Ethan
Golabchi, Fatemeh Noushin
Görmez, Yasin
Jaakkola, Maria K.
Jonnagaddala, Jitendra
Klén, Riku
Li, Dongmei
McDaniel, Christian
Perrin, Dimitri
Perumal, Thanneer M.
Rad, Nastaran Mohammadian
Rainaldi, Erin
Sapienza, Stefano
Schwab, Patrick
Shokhirev, Nikolai
Venäläinen, Mikko S.
Vergara-Diaz, Gloria
Zhang, Yuqian
Wang, Yuanjia
Guan, Yuanfang
Brunner, Daniela
Bonato, Paolo
Mangravite, Lara M.
Omberg, Larsson
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_45ee48713e9b4dd591d3f8cc81d31894
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45ee48713e9b4dd591d3f8cc81d31894
Other Identifiers
ISSN
2398-6352
E-ISSN
2398-6352
DOI
10.1038/s41746-021-00414-7
