About: Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry

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About: Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry Goto Sponge NotDistinct Permalink

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scientific article published on 01 January 2020

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description	wetenschappelijk artikel (nl) научна статия (bg) 2020 թվականին հրատարակված գիտական հոդված (hy) artículu científicu espublizáu en xineru de 2020 (ast) article scientifique (publié 2020) (fr) articolo scientifico (pubblicato il 2020) (it) artigo científico (publicado na 2020) (pt) artikull shkencor i botuar më 01 janar 2020 (sq) artículo científico publicado en 2020 (es) scientific article published on 01 January 2020 (en) ১ জানুয়ারি ২০২০-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ (bn) im Januar 2020 veröffentlichter wissenschaftlicher Artikel (de) наукова стаття, опублікована 1 січня 2020 (uk)
publication date	wds:Q90075133-D0376FA4-E516-40FA-8968-B4EB45FBE8C8
publication date	2020-01-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q90075133-022E81FF-D093-4D76-9745-B8D5504963A2 wds:Q90075133-0615C381-3C17-4269-8D0B-A6CD344404C3 wds:Q90075133-08BEF542-A6B6-4747-88A9-FD846F238BCD wds:Q90075133-176181C3-7E06-4B5D-B756-36EDD23D3C8B wds:Q90075133-17EA2F17-3122-42DF-B27B-EC6A0EEC688D wds:Q90075133-1EAA1F54-68FC-4196-96AE-CA225236FF4C wds:Q90075133-2A6B4318-2844-4AA5-A0CA-942749AB4685 wds:Q90075133-2A7B20E7-C60E-4E28-85A2-FF8BB43E158D wds:Q90075133-3BFDACEB-9607-45E2-8D03-AA86B1B3EBC0 wds:Q90075133-473CDD28-C1A6-4CDA-9A57-B0AE9602F170 wds:Q90075133-4ED7636F-C805-4CC9-BD1E-1962DEDE59A5 wds:Q90075133-58C755EE-F275-4925-A3D7-1AA2EA53C921 wds:Q90075133-8344618A-27CB-498F-A683-29DB2DACE976 wds:Q90075133-84F5BB4A-E833-430E-A7DB-4EE9A23C7497 wds:Q90075133-88190C36-92E1-4537-910F-480FD5D81B10 wds:Q90075133-8FE1D2CC-37F0-4B36-939B-7CADE7B2723F wds:Q90075133-9EEDA907-0F55-4F9A-8C05-8C6EF2F1340E wds:Q90075133-9FA2402D-4224-4B9B-9ED0-CC08EA7159CE wds:Q90075133-A4DEB512-D5B2-410E-9813-B044DE890621 wds:Q90075133-A6C9530E-400B-4E07-BCCB-EFF5E6D60ECC wds:Q90075133-A9A44686-61B3-4FC0-9DB8-5BEC2ED798C4 wds:Q90075133-ACC7B594-7D80-41A7-B10F-64E9A1D69FEC wds:Q90075133-B16DB17A-13FB-4471-B25E-215D2E6DD628 wds:Q90075133-C078C3F6-67AF-45F7-8FCE-052614AA4591 wds:Q90075133-C684760D-C00E-4846-9C84-426E2642A258 wds:Q90075133-CB536243-2942-410F-AD14-82E9D85B09B1 wds:Q90075133-CBE1A6B0-9E64-4EAF-8136-6589FB196DA2 wds:Q90075133-D708044F-3C1E-4E0F-A392-7291F480EE83 wds:Q90075133-E0582831-29BC-41B7-9021-86C3BEB7E393 wds:Q90075133-EBCA8406-D581-4421-B7FC-E133EA2FF9B4 wds:Q90075133-F06D8DEF-B068-41DF-A7E0-7D88AC7CC3C3 wds:Q90075133-F3D946B4-76C3-4DD0-A703-3EE80E5CBBB9 wds:Q90075133-FD231388-F0EE-4A84-87AA-ECFAAA95EB46
cites work	Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment b Diagnostic performance of coronary angiography by 64-row CT. 2013 ESC guidelines on the management of stable coronary artery disease Prevalence and predictors of nonobstructive coronary artery disease identified with coronary angiography in contemporary clinical practice. Correlation of coronary calcification and angiographically documented stenoses in patients with suspected coronary artery disease: results of 1,764 patients Low diagnostic yield of elective coronary angiography 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Incremental prognostic utility of coronary CT angiography for asymptomatic patients based upon extent and severity of coronary artery calcium: results from the COronary CT Angiography EvaluatioN For Clinical Outcomes InteRnational Multicenter (CONFI Rationale and design of the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) Registry CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicentre trial Outcomes of anatomical versus functional testing for coronary artery disease Mortality risk in symptomatic patients with nonobstructive coronary artery disease: a prospective 2-center study of 2,583 patients undergoing 64-detector row coronary computed tomographic angiography Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension Continuous probabilistic prediction of angiographically significant coronary artery disease using electron beam tomography Impact of a Continuous Quality Improvement Initiative on Appropriate Use of Coronary Computed Tomography Angiography SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: A report of the society of Cardiovascular Computed Tomography Guidelines Committee: Endorsed by the North American Society for Cardiovascular Imaging ( Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts Incremental predictive value for obstructive coronary artery disease by combination of Duke Clinical Score and Agatston score. hs-Troponin I Followed by CT Angiography Improves Acute Coronary Syndrome Risk Stratification Accuracy and Work-Up in Acute Chest Pain Patients: Results From ROMICAT II Trial 2016 SCCT/STR guidelines for coronary artery calcium scoring of noncontrast noncardiac chest CT scans: A report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology A Comparison of the Updated Diamond-Forrester, CAD Consortium, and CONFIRM History-Based Risk Scores for Predicting Obstructive Coronary Artery Disease in Patients With Stable Chest Pain: The SCOT-HEART Coronary CTA Cohort. European Society of Cardiology-Recommended Coronary Artery Disease Consortium Pretest Probability Scores More Accurately Predict Obstructive Coronary Disease and Cardiovascular Events Than the Diamond and Forrester Score: The Partners Registry Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging 2014 SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. Analysis of Machine Learning Techniques for Heart Failure Readmissions Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial. Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry Diamond-Forrester and Morise risk models perform poorly in predicting obstructive coronary disease in Middle Eastern Cohort. Diagnostic models of the pre-test probability of stable coronary artery disease: A systematic review Validation and comparison of four models to calculate pretest probability of obstructive coronary artery disease in a Chinese population: A coronary computed tomographic angiography study. Diagnostic yield and accuracy of coronary CT angiography after abnormal nuclear myocardial perfusion imaging.
author name string	wds:Q90075133-17DC80AB-88B9-4392-B18F-B35EC9593E08 wds:Q90075133-446CBDB2-DAC3-4AE6-899B-A9045EE1B765 wds:Q90075133-5528EB1C-2CE8-42A2-8226-92BF05C568B1 wds:Q90075133-79EAC66E-1188-4140-A9AC-FC60C1BB72C6 wds:Q90075133-7A458A42-A3D5-4498-8674-36086889DB8F wds:Q90075133-807D870F-157D-4A66-A37F-F4D9CCBCB006 wds:Q90075133-8BA25CB3-2191-45AC-9B2D-FE0E3DF4A2A2 wds:Q90075133-D8F5B948-6BDA-4AFF-B7A8-4698A1855BD6
author name string	Yao Lu Benjamin Lee Philipp A Kaufmann Yong-Jin Kim Xiaoyue Ma Hugo Marques Jessica M Peña Zhuoran Xu
rdfs:label	Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry (en) Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry (nl)

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