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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...
Autores principales: | Warden, Mark N., Searles Nielsen, Susan, Camacho-Soto, Alejandra, Garnett, Roman, Racette, Brad A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
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 |
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