Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models

BACKGROUND: Cox proportional hazards regression models and machine learning models are widely used for predicting the risk of dementia. Existing comparisons of these models have mostly been based on empirical datasets and have yielded mixed results. This study examines the accuracy of various machin...

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Detalles Bibliográficos
Autores principales: Wang, Meng, Greenberg, Matthew, Forkert, Nils D., Chekouo, Thierry, Afriyie, Gabriel, Ismail, Zahinoor, Smith, Eric E., Sajobi, Tolulope T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628121/
https://www.ncbi.nlm.nih.gov/pubmed/36324086
http://dx.doi.org/10.1186/s12874-022-01754-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628121/
https://www.ncbi.nlm.nih.gov/pubmed/36324086
http://dx.doi.org/10.1186/s12874-022-01754-y

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