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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Veröffentlicht in:Scientific reports Jg. 13; H. 1; S. 13
Hauptverfasser: Chowdhury, Mohammad Ziaul Islam, Leung, Alexander A., Walker, Robin L., Sikdar, Khokan C., O’Beirne, Maeve, Quan, Hude, Turin, Tanvir C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 02.01.2023
Nature Publishing Group
Nature Portfolio
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ISSN:2045-2322, 2045-2322
Online-Zugang:Volltext
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