A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population

Risk prediction models are frequently used to identify individuals at risk of developing hypertension. This study evaluates different machine learning algorithms and compares their predictive performance with the conventional Cox proportional hazards (PH) model to predict hypertension incidence usin...

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Detalles Bibliográficos
Autores principales: Chowdhury, Mohammad Ziaul Islam, Leung, Alexander A., Walker, Robin L., Sikdar, Khokan C., O’Beirne, Maeve, Quan, Hude, Turin, Tanvir C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807553/
https://www.ncbi.nlm.nih.gov/pubmed/36593280
http://dx.doi.org/10.1038/s41598-022-27264-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807553/
https://www.ncbi.nlm.nih.gov/pubmed/36593280
http://dx.doi.org/10.1038/s41598-022-27264-x

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