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Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants
OBJECTIVE: To develop an optimal screening model to identify the individuals with a high risk of hypertension in China by comparing tree-based machine learning models, such as classification and regression tree, random forest, adaboost with a decision tree, extreme gradient boosting decision tree, a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548597/ https://www.ncbi.nlm.nih.gov/pubmed/36225955 http://dx.doi.org/10.3389/fcvm.2022.928948 |