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References from Machine Learning Prediction of Incident Hypertension in Australian Men: Integrating Survey, Pharmaceutical and Healthcare Utilisation Data From the Ten to Men Cohort. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2023 · External reference
10.1016/s0140-6736(20)30752-2
10.1016/s0140-6736(20)30752-2 · External reference
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10.1097/hjh.0000000000003854
10.1097/hjh.0000000000003854 · External reference
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10.5694/mja2.52373 · External reference
10.1161/hypertensionaha.118.12606
10.1161/hypertensionaha.118.12606 · External reference
10.1007/s13167-023-00344-2
10.1007/s13167-023-00344-2 · External reference
10.1002/hsr2.1419
10.1002/hsr2.1419 · External reference
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10.7326/0003-4819-148-2-200801150-00005 · External reference
10.1371/journal.pone.0294148
10.1371/journal.pone.0294148 · External reference
Hypertension Risk Score for Middle-Aged and Older Adults
10.1111/j.1751-7176.2010.00343.x · 2010 · External reference
10.1016/s0140-6736(01)06710-1
10.1016/s0140-6736(01)06710-1 · External reference
10.1161/hyp.0000000000000087
10.1161/hyp.0000000000000087 · External reference
10.1186/s13104-015-1616-8
10.1186/s13104-015-1616-8 · External reference
Role of the Health Belief Model in the Management of Hypertension: A Systematic Review
2025 · External reference
10.1093/eurheartj/ehw302
10.1093/eurheartj/ehw302 · External reference
10.1056/nejmp1606181
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10.1007/s40200-024-01491-7
10.1007/s40200-024-01491-7 · External reference
Unresolved reference
2024 · External reference
10.1002/cdt3.70007
10.1002/cdt3.70007 · External reference
10.1002/cdt3.137
10.1002/cdt3.137 · External reference
10.1186/s12889-016-3698-1
10.1186/s12889-016-3698-1 · External reference
10.1093/ije/dyw055
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10.1038/s42256-019-0138-9 · External reference
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10.1186/s12889-016-3697-2 · External reference
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10.1136/bmj.g7594
10.1136/bmj.g7594 · External reference
10.1016/j.jclinepi.2019.02.004
10.1016/j.jclinepi.2019.02.004 · External reference
Topic Group ‘Evaluating Diagnostic Tests and Prediction Models’ of the STRATOS Initiative
2019 · External reference
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10.1023/a:1010933404324 · External reference
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Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors
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10.1136/pgmj.2006.048371 · External reference
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10.1038/s41581-019-0145-4 · External reference
10.1002/sim.4085
10.1002/sim.4085 · External reference
10.1038/jhh.2013.11
10.1038/jhh.2013.11 · External reference
10.1371/journal.pone.0266334
10.1371/journal.pone.0266334 · External reference
10.1093/ehjdh/ztae080
10.1093/ehjdh/ztae080 · External reference
Machine Learning-Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan
10.2196/52794 · 2024 · External reference
10.1002/bimj.201300226
10.1002/bimj.201300226 · External reference
10.1186/s41231-021-00096-z
10.1186/s41231-021-00096-z · External reference
10.1371/journal.pone.0213653
10.1371/journal.pone.0213653 · External reference
10.2196/jmir.9268
10.2196/jmir.9268 · External reference
10.1097/hjh.0000000000003379
10.1097/hjh.0000000000003379 · External reference
Unresolved reference
2019 · External reference
