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Can machine learning improve risk prediction of incident hypertension? An internal method comparison and external validation of the Framingham risk model using HUNT Study data

2022-11-04

Abstract excerpt

A recent meta-review on hypertension risk models detailed that the differences in data and study-setup have a large influence on performance, meaning model comparisons should be performed using the same study data. We compared five different machine learning algorithms and the externally developed Framingham risk model in predicting risk of incident hypertension using data from the Trøndelag Health Study. The data...

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Literature Corpus work
dff8c4d0-e9dd-5af1-8fbc-6c8f70b35989
DOI
10.1101/2022.11.02.22281859
Open publication

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Can machine learning improve risk prediction of incident hypertension? An internal method comparison and external validation of the Framingham risk model using HUNT Study dataDOI 10.1101/2022.11.02.22281859
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