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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: Apr 23, 2024
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all[original query]>>Heart, Lung, Blood and Sleep Diseases[Category]
Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet.
Chukwuebuka Joseph Ejiyi et al. Network 2024 1-33
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Impact of Race, Socioeconomic Status, and Geography on Healthcare Outcomes for Children With Sickle Cell Disease in the United States: A Scoping Review
Family cascade screening for equitable identification of familial hypercholesterolemia: study protocol for a hybrid effectiveness-implementation type III randomized controlled trial
Family cascade screening for equitable identification of familial hypercholesterolemia: study protocol for a hybrid effectiveness-implementation type III randomized controlled trial.
Christina Johnson et al. Implement Sci 2024 19(1) 30
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Practice Patterns and Barriers to Vascular Genetic Testing among Vascular Surgeons.
James M Dittman et al. Ann Vasc Surg 2024
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Diagnosing Cystic Fibrosis in the 21st Century-A Complex and Challenging Task.
Dana-Teodora Anton-Paduraru et al. Diagnostics (Basel) 2024 14(7)
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Impact of Race, Socioeconomic Status, and Geography on Healthcare Outcomes for Children With Sickle Cell Disease in the United States: A Scoping Review.
Sameerah Wahab et al. Cureus 2024 16(3) e56089
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Prevalence of elevated lipoprotein(a) in cardiac rehabilitation patients - results from a large-scale multicentre registry in Germany.
Christoph Altmann et al. Clin Res Cardiol 2024
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Many Models, Little Adoption-What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?
Yuki Kawamura et al. J Clin Med 2024 13(5)
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Assessing Biological Age: The Potential of ECG Evaluation Using Artificial Intelligence: JACC Family Series.
Francisco Lopez-Jimenez et al. JACC Clin Electrophysiol 2024
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Application of machine learning methods for predicting childhood anaemia: Analysis of Ethiopian Demographic Health Survey of 2016.
Solomon Hailemariam Tesfaye et al. PLoS One 2024 19(4) e0300172
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Non-Invasive Heart Failure Evaluation Using Machine Learning Algorithms.
Odeh Adeyi Victor et al. Sensors (Basel) 2024 24(7)
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Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease.
Timothy Burton et al. Diagnostics (Basel) 2024 14(7)
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Deep learning evaluation of echocardiograms to identify occult atrial fibrillation.
Neal Yuan et al. NPJ Digit Med 2024 7(1) 96
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Awareness of sickle cell disease among nursing undergraduates in Farasan: Its interference with malaria.
Shabihul Fatma Sayed et al. J Family Med Prim Care 2024 13(2) 589-599
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Cardiovascular Risk Factors Among First-Degree Relatives of Patients with Premature Cardiovascular Disease in Malta. Baseline Findings from the CRISO Project.
Justin Lee Mifsud et al. Vasc Health Risk Manag 2024 20167-176
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A focused update to the 2019 NLA scientific statement on use of lipoprotein(a) in clinical practice.
Marlys L Koschinsky et al. J Clin Lipidol 2024
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The outcome of genetic and non-genetic pediatric cardiomyopathies.
Ali AlAlakhfash et al. Egypt Heart J 2024 76(1) 43
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Genetic testing in cardiovascular disease.
Michael P Gray et al. Med J Aust 2024
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Unexpected gaps in knowledge of familial hypercholesterolaemia among Dutch general practitioners.
Shirin Ibrahim et al. Neth Heart J 2024
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Ethical use of artificial intelligence to prevent sudden cardiac death: an interview study of patient perspectives.
Menno T Maris et al. BMC Med Ethics 2024 25(1) 42
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Cystic Fibrosis Foundation Evidence-Based Guideline for the Management of CRMS/CFSPID.
Deanna M Green et al. Pediatrics 2024
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Evaluating thromboprophylaxis in the sickle cell disease population: Navigating the evidence gap.
Jennifer Davila et al. Br J Haematol 2024
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Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound.
Evangelos K Oikonomou et al. medRxiv 2024
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Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing.
Marta Fernandes et al. medRxiv 2024
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A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms.
Utkarsh Gupta et al. Heliyon 2024 10(5) e26787
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Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system.
Faraz S Ahmad et al. Clin Res Cardiol 2024
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Comprehensive evaluation and performance analysis of machine learning in heart disease prediction.
Halah A Al-Alshaikh et al. Sci Rep 2024 14(1) 7819
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Machine Learning-Based Prediction of Stroke in Emergency Departments.
Vida Abedi et al. Ther Adv Neurol Disord 2024 1717562864241239108
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Machine learning-based predictive models for patients with venous thromboembolism: A Systematic Review.
Vasiliki Danilatou et al. Thromb Haemost 2024
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 23, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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