Predicting hypertension using machine learning: Findings from Qatar Biobank Study

Open Access

Peer-reviewed

Research Article

About the Authors

Latifa A. AlKaabi

Roles Data curation, Formal analysis, Investigation, Software, Visualization, Writing – original draft

Affiliation Department of Public Health, College of Health Science, QU Health, Qatar University, Doha, Qatar

Lina S. Ahmed

Roles Data curation, Formal analysis, Investigation, Software, Visualization, Writing – original draft

Affiliation Department of Public Health, College of Health Science, QU Health, Qatar University, Doha, Qatar

Maryam F. Al Attiyah

Roles Data curation, Formal analysis, Investigation, Software, Visualization, Writing – original draft

Affiliation Department of Public Health, College of Health Science, QU Health, Qatar University, Doha, Qatar

Manar E. Abdel-Rahman

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliation Department of Public Health, College of Health Science, QU Health, Qatar University, Doha, Qatar

The authors have declared that no competing interests exist.

Hypertension
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Cardiovascular disease risk
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Forecasting
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Diabetes mellitus
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Machine learning
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Decision trees
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Vegetables
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Hypercholesterolemia
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