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Public Health Genomics and Precision Health Knowledge Base (v7.8)
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Heart, Lung, Blood, and Sleep Disorders
Last data update: Jul 05, 2022
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Heart And Vascular Diseases[original query]>>Original Studies[Product Type]
Generalizable Beat-by-Beat Arrhythmia Detection by Using Weakly Supervised Deep Learning.
Liu Yang et al. Frontiers in physiology 2022 13850951
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Prediction of 3-year all-cause and cardiovascular cause mortality in a prospective percutaneous coronary intervention registry: Machine learning model outperforms conventional clinical risk scores.
Calburean Paul-Adrian et al. Atherosclerosis 2022 35033-40
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Machine learning approaches to predict the 1-year-after-initial-AMI survival of elderly patients.
Lee Jisoo et al. BMC medical informatics and decision making 2022 22(1) 115
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First-onset major depression during the COVID-19 pandemic: A predictive machine learning model.
Caldirola Daniela et al. Journal of affective disorders 2022
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Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis.
Doudesis Dimitrios et al. The Lancet. Digital health 2022 4(5) e300-e308
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Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention.
Deng Lianxiang et al. BMC medical informatics and decision making 2022 22(1) 109
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Is Liver Transplant Curative in Homozygous Familial Hypercholesterolemia? A Review of Nine Global Cases.
Al Dubayee Mohammed et al. Advances in therapy 2022
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Association of Familial Hypercholesterolemia and Statin Use With Risk of Dementia in Norway.
Mundal Liv J et al. JAMA network open 2022 5(4) e227715
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Polygenic risk score as a possible tool for identifying familial monogenic causes of complex diseases.
Lu Tianyuan et al. Genetics in medicine : official journal of the American College of Medical Genetics 2022
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Exploring the diagnostic utility of genome sequencing for fetal congenital heart defects.
Cao Y et al. Prenatal diagnosis 2022
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Preconception leisure-time physical activity and family history of stroke and myocardial infarction associate with preterm delivery: findings from a Norwegian cohort.
Engen Tone et al. BMC pregnancy and childbirth 2022 22(1) 341
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Association of Lipoprotein (a) in Coronary Artery Disease in Young Individuals.
Patted Aishwarya et al. The Journal of the Association of Physicians of India 2022 70(4) 11-12
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Effect of Occurrence of Lamin A/C (LMNA) Genetic Variants in a Cohort of 101 Consecutive Apparent "Lone AF" Patients: Results and Insights.
Pessente Gabrielle D'Arezzo et al. Frontiers in cardiovascular medicine 2022 9823717
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The Clinically Actionable Molecular Profile of Early versus Late-Stage Non-Small Cell Lung Cancer, an Individual Age and Sex Propensity-Matched Pair Analysis.
McGuire Anna L et al. Current oncology (Toronto, Ont.) 2022 29(4) 2630-2643
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Collaborative Approach to Reach Everyone with Familial Hypercholesterolemia: CARE-FH Protocol.
Jones Laney K et al. Journal of personalized medicine 2022 12(4)
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Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study.
Wang Jinwan et al. JMIR medical informatics 2022 10(4) e33395
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Cardiovascular/Stroke Risk Stratification in Parkinson's Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review.
Suri Jasjit S et al. Metabolites 2022 12(4)
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The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial.
Winslow Christopher J et al. Critical care medicine 2022
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Implementation of a machine learning application in preoperative risk assessment for hip repair surgery.
Li Yu-Yu et al. BMC anesthesiology 2022 22(1) 116
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KCNH2 p.Gly262AlafsTer98: A New Threatening Variant Associated with Long QT Syndrome in a Spanish Cohort.
Lorca Rebeca et al. Life (Basel, Switzerland) 2022 12(4)
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Point of care CYP2C19 genotyping after percutaneous coronary intervention
LM Baudhuin et al, The PGX Journal, April 20, 2022
Prediction of Mortality in Coronary Artery Disease: Role of Machine Learning and Maximal Exercise Capacity.
de Souza E Silva Christina G et al. Mayo Clinic proceedings 2022
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Machine learning-based identification of risk-factor signatures for undiagnosed atrial fibrillation in primary prevention and post-stroke in clinical practice.
Schnabel Renate B et al. European heart journal. Quality of care & clinical outcomes 2022
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Prevalence and Patient Outcomes of Adult Primary Hypercholesterolemia and Dyslipidemia in the UK: Longitudinal Retrospective Study Using a Primary Care Dataset from 2009 to 2019.
Bilitou Aikaterini et al. ClinicoEconomics and outcomes research : CEOR 2022 14189-203
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Impact of the ABCD-GENE Score on Clopidogrel Clinical Effectiveness after PCI: A Multi-site, Real-world Investigation.
Thomas Cameron D et al. Clinical pharmacology and therapeutics 2022
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Motivating cascade testing for familial hypercholesterolemia: applying the extended parallel process model for clinician communication.
Campbell-Salome Gemme et al. Translational behavioral medicine 2022
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shRNAs Targeting a Common KCNQ1 Variant Could Alleviate Long-QT1 Disease Severity by Inhibiting a Mutant Allele.
Cócera-Ortega Lucía et al. International journal of molecular sciences 2022 23(7)
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Coordinating Health Care With Artificial Intelligence-Supported Technology for Patients With Atrial Fibrillation: Protocol for a Randomized Controlled Trial.
Laranjo Liliana et al. JMIR research protocols 2022 11(4) e34470
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Effect of an artificial intelligence-assisted tool on non-valvular atrial fibrillation anticoagulation management in primary care: protocol for a cluster randomized controlled trial.
Ru Xueying et al. Trials 2022 23(1) 316
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Machine learning models for prediction of adverse events after percutaneous coronary intervention.
Niimi Nozomi et al. Scientific reports 2022 12(1) 6262
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Page last reviewed:
Oct 1, 2021
Page last updated:
Jul 05, 2022
Content source:
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