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Examining the influence of anxiety and depression on medication adherence among patients diagnosed with acute myocardial infarction
BMC Psychology,
2024
DOI:10.1186/s40359-024-01959-4
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[2]
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Predicting and Analyzing Cardiovascular Disease through Ensemble Learning Approaches
International Research Journal of Multidisciplinary Technovation,
2024
DOI:10.54392/irjmt24510
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[3]
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Enhanced Heart Disease Classification: An Ensemble-Based Deep Learning Approach
2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES),
2024
DOI:10.1109/SPICES62143.2024.10779676
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[4]
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Profiling Cardiometabolic Health in Jordan: A Call to Action to Improve Cardiovascular Health
Cureus,
2023
DOI:10.7759/cureus.38488
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[5]
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Cardiovascular Disease Detection using Ensemble Learning
Computational Intelligence and Neuroscience,
2022
DOI:10.1155/2022/5267498
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[6]
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Predictors of Effective Self-care Interventions Among Jordanians With Heart Failure
Clinical Nursing Research,
2022
DOI:10.1177/10547738211068968
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[7]
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Psychosocial factors correlate with adherence to medications among cardiovascular outpatient clinics in Jordan
Journal of Public Health,
2021
DOI:10.1093/pubmed/fdab356
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[8]
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Impacts of Treatment Modalities on Physical Activity After First Acute Myocardial Infarction in Jordan
Dimensions of Critical Care Nursing,
2019
DOI:10.1097/DCC.0000000000000382
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[9]
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Dietary Inflammatory Index and odds of Coronary Artery Disease in a Case-Control Study from Jordan
Nutrition,
2018
DOI:10.1016/j.nut.2018.11.027
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