Cargando…

Development and Validation of a Predictive Model for Coronary Artery Disease Using Machine Learning

Early identification of coronary artery disease (CAD) can prevent the progress of CAD and effectually lower the mortality rate, so we intended to construct and validate a machine learning model to predict the risk of CAD based on conventional risk factors and lab test data. There were 3,112 CAD pati...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Chen, Zhao, Yue, Jin, Bingyu, Gan, Xuedong, Liang, Bin, Xiang, Yang, Zhang, Xiaokang, Lu, Zhibing, Zheng, Fang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Cardiovascular Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902072/ https://www.ncbi.nlm.nih.gov/pubmed/33634169 http://dx.doi.org/10.3389/fcvm.2021.614204

Ejemplares similares

Circulating homocysteine and folate concentrations and risk of type 2 diabetes: A retrospective observational study in Chinese adults and a Mendelian randomization analysis
por: Cheng, Yating, et al.
Publicado: (2022)

Systematic Pharmacology and GEO Database Mining Revealed the Therapeutic Mechanism of Xuefu Zhuyu Decoration for Atherosclerosis Cardiovascular Disease
por: Liang, Bin, et al.
Publicado: (2020)

Machine learning algorithms for predicting mortality after coronary artery bypass grafting
por: Khalaji, Amirmohammad, et al.
Publicado: (2022)

Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease
por: Stuckey, Thomas, et al.
Publicado: (2022)

Machine learning models of clinically relevant biomarkers for the prediction of stable obstructive coronary artery disease
por: Kim, Juntae, et al.
Publicado: (2022)

Machine learning algorithms to predict major bleeding after isolated coronary artery bypass grafting
por: Gao, Yuchen, et al.
Publicado: (2022)

Machine learning for atrial fibrillation risk prediction in patients with sleep apnea and coronary artery disease
por: Silva, Carlos A. O., et al.
Publicado: (2022)

Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey
por: Hampe, Nils, et al.
Publicado: (2019)

A Risk-Stratification Machine Learning Framework for the Prediction of Coronary Artery Disease Severity: Insights From the GESS Trial
por: Mittas, Nikolaos, et al.
Publicado: (2022)

Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery
por: Jiang, Haiye, et al.
Publicado: (2021)

Corrigendum: Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery
por: Jiang, Haiye, et al.
Publicado: (2022)

Corrigendum: Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery
por: Jiang, Haiye, et al.
Publicado: (2022)

Identification of 5 hub genes for diagnosis of coronary artery disease
por: Zhu, Pengyuan, et al.
Publicado: (2023)

Machine learning in predicting cardiac surgery-associated acute kidney injury: A systemic review and meta-analysis
por: Song, Zhe, et al.
Publicado: (2022)

Machine learning-based prediction of the post-thrombotic syndrome: Model development and validation study
por: Yu, Tao, et al.
Publicado: (2022)

Machine Learning for Prediction of Outcomes in Cardiogenic Shock
por: Rong, Fangning, et al.
Publicado: (2022)

Development and validation of a nomogram for predicting significant coronary artery stenosis in suspected non-ST-segment elevation acute coronary artery syndrome with low-to-intermediate risk stratification
por: Chen, Meixiang, et al.
Publicado: (2022)

The Association and Pathogenesis of SERPINA3 in Coronary Artery Disease
por: Li, Bo, et al.
Publicado: (2021)

Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populations
por: Lee, Heesun, et al.
Publicado: (2023)

Machine Learning Analyzed Weather Conditions as an Effective Means in the Predicting of Acute Coronary Syndrome Prevalence
por: Wlodarczyk, Aleksandra, et al.
Publicado: (2022)

Machine learning derived ECG risk score improves cardiovascular risk assessment in conjunction with coronary artery calcium scoring
por: Siva Kumar, Shruti, et al.
Publicado: (2022)

A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries
por: Morgan, Benjamin, et al.
Publicado: (2023)

ALB-dNLR Score Predicts Mortality in Coronary Artery Disease Patients After Percutaneous Coronary Intervention
por: Xiu, Wen-Juan, et al.
Publicado: (2022)

Predicting 7-day unplanned readmission in elderly patients with coronary heart disease using machine learning
por: Song, Xuewu, et al.
Publicado: (2023)

Reliability and validity of sit-to-stand test protocols in patients with coronary artery disease
por: Wang, Zheng, et al.
Publicado: (2022)

Development and Validation of a Novel Nomogram for Preoperative Prediction of In-Hospital Mortality After Coronary Artery Bypass Grafting Surgery in Heart Failure With Reduced Ejection Fraction
por: Yan, Pengyun, et al.
Publicado: (2021)

Predicting the Prognosis of Patients in the Coronary Care Unit: A Novel Multi-Category Machine Learning Model Using XGBoost
por: Wang, Xingchen, et al.
Publicado: (2022)

Development and Validation of a Prognostic Model to Predict High-Risk Patients for Coronary Heart Disease in Snorers With Uncontrolled Hypertension
por: Wang, Meng-hui, et al.
Publicado: (2022)

Development and Validation of a Risk Prediction Model for Venous Thromboembolism in Lung Cancer Patients Using Machine Learning
por: Lei, Haike, et al.
Publicado: (2022)

Predictive Value of Gensini Score in the Long-Term Outcomes of Patients With Coronary Artery Disease Who Underwent PCI
por: Wang, Kai-Yang, et al.
Publicado: (2022)

Prediction Model Risk-of-Bias Assessment Tool for coronary artery lesions in Kawasaki disease
por: Huang, Hongbiao, et al.
Publicado: (2022)

Identification of risk factors for infection after mitral valve surgery through machine learning approaches
por: Zhang, Ningjie, et al.
Publicado: (2023)

Case Report: Hematoma Formation After Spontaneous Coronary Artery Rupture
por: Liang, Weitao, et al.
Publicado: (2022)

Effect of Alirocumab on Coronary Calcification in Patients With Coronary Artery Disease
por: Gao, Fei, et al.
Publicado: (2022)

Machine learning models for predicting the risk factor of carotid plaque in cardiovascular disease
por: Bin, Chengling, et al.
Publicado: (2023)

Therapeutic Exosomes in Prognosis and Developments of Coronary Artery Disease
por: Chen, Ai-Qun, et al.
Publicado: (2021)

Early Prediction of Cardiogenic Shock Using Machine Learning
por: Chang, Yale, et al.
Publicado: (2022)

Machine Learning to Predict Long-Term Cardiac-Relative Prognosis in Patients With Extra-Cardiac Vascular Disease
por: Lin, Guisen, et al.
Publicado: (2021)

Incremental value of non-invasive myocardial work for the evaluation and prediction of coronary microvascular dysfunction in angina with no obstructive coronary artery disease
por: Li, Ying, et al.
Publicado: (2023)

Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients
por: Guo, Tuo, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_it2ku2tsa278lr7uisv5j00vbh