A comparison of prediction approaches for identifying prodromal Parkinson disease

Identifying people with Parkinson disease during the prodromal period, including via algorithms in administrative claims data, is an important research and clinical priority. We sought to improve upon an existing penalized logistic regression model, based on diagnosis and procedure codes, by adding...

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Detalles Bibliográficos
Autores principales: Warden, Mark N., Searles Nielsen, Susan, Camacho-Soto, Alejandra, Garnett, Roman, Racette, Brad A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389479/
https://www.ncbi.nlm.nih.gov/pubmed/34437600
http://dx.doi.org/10.1371/journal.pone.0256592

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389479/
https://www.ncbi.nlm.nih.gov/pubmed/34437600
http://dx.doi.org/10.1371/journal.pone.0256592

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