A machine learning algorithm successfully screens for Parkinson's in web users

OBJECTIVE: To develop, apply, and evaluate, a novel web‐based classifier for screening for Parkinson disease among a large cohort of search engine users. METHODS: A supervised machine learning classifier learned to distinguish web users with self‐reported Parkinson's disease from controls based...

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Detalles Bibliográficos
Autores principales: Youngmann, Brit, Allerhand, Liron, Paltiel, Ora, Yom‐Tov, Elad, Arkadir, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917308/
https://www.ncbi.nlm.nih.gov/pubmed/31714022
http://dx.doi.org/10.1002/acn3.50945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917308/
https://www.ncbi.nlm.nih.gov/pubmed/31714022
http://dx.doi.org/10.1002/acn3.50945

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