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Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia
BACKGROUND AND OBJECTIVES: Hypertension (HTN), a major global health concern, is a leading cause of cardiovascular disease, premature death and disability, worldwide. It is important to develop an automated system to diagnose HTN at an early stage. Therefore, this study devised a machine learning (M...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449142/ https://www.ncbi.nlm.nih.gov/pubmed/37616271 http://dx.doi.org/10.1371/journal.pone.0289613 |