Article

Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores

2023-12-14

Abstract excerpt

We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus...

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Literature Corpus work: 75e41b58-09c5-56f2-8a96-e66b873561f1
DOI: 10.1101/2023.12.13.23299909

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