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

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

Abstract 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 incid...

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Bibliographic Details
Main Authors: Mohammad Ziaul Islam Chowdhury, Alexander A. Leung, Robin L. Walker, Khokan C. Sikdar, Maeve O’Beirne, Hude Quan, Tanvir C. Turin
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-27264-x

Internet

https://doi.org/10.1038/s41598-022-27264-x

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