Identifying incident dementia by applying machine learning to a very large administrative claims dataset

Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts to develop predictive models have relied on demographic and clinical risk factors using traditional logistical regression methods. We hypothesized that machine-learning algorithms using administr...

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Detalles Bibliográficos
Autores principales: Nori, Vijay S., Hane, Christopher A., Martin, David C., Kravetz, Alexander D., Sanghavi, Darshak M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611655/
https://www.ncbi.nlm.nih.gov/pubmed/31276468
http://dx.doi.org/10.1371/journal.pone.0203246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611655/
https://www.ncbi.nlm.nih.gov/pubmed/31276468
http://dx.doi.org/10.1371/journal.pone.0203246

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