Percutaneous Coronary Intervention
Last Posted: May 03, 2022
- 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
- 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
- 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
- Point of care CYP2C19 genotyping after percutaneous coronary intervention
LM Baudhuin et al, The PGX Journal, April 20, 2022
- 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
- Machine learning models for prediction of adverse events after percutaneous coronary intervention.
Niimi Nozomi et al. Scientific reports 2022 12(1) 6262
- Using Text Content From Coronary Catheterization Reports to Predict 5-Year Mortality Among Patients Undergoing Coronary Angiography: A Deep Learning Approach.
Li Yu-Hsuan et al. Frontiers in cardiovascular medicine 2022 9800864
- CYP2C19 Genotyping in Anticoagulated Patients After Percutaneous Coronary Intervention: Should It Be Routine?
Maamari Dimitri J et al. Circulation 2022 145(10) 721-723
- Prognostic Value of Machine Learning in Patients with Acute Myocardial Infarction.
Xiao Changhu et al. Journal of cardiovascular development and disease 2022 9(2)
- Assessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: A retrospective analysis of electronic health records using Natural Language Processing.
González-Juanatey Carlos et al. PloS one 2022 17(2) e0263277
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
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