Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study
Objectives Sufficient attention has not been given to machine learning (ML) models using longitudinal data for investigating important predictors of new onset of hypertension. We investigated the predictive ability of several ML models for the development of hypertension.Methods A total of 15 965 Ja...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Clinical and Experimental Hypertension |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10641963.2025.2449613 |
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