Cargando…

Machine learning models for predicting the risk factor of carotid plaque in cardiovascular disease

INTRODUCTION: Cardiovascular disease (CVD) is a group of diseases involving the heart or blood vessels and represents a leading cause of death and disability worldwide. Carotid plaque is an important risk factor for CVD that can reflect the severity of atherosclerosis. Accordingly, developing a pred...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bin, Chengling, Li, Qin, Tang, Jing, Dai, Chaorong, Jiang, Ting, Xie, Xiufang, Qiu, Min, Chen, Lumiao, Yang, Shaorong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Cardiovascular Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556651/ https://www.ncbi.nlm.nih.gov/pubmed/37808888 http://dx.doi.org/10.3389/fcvm.2023.1178782

Ejemplares similares

Carotid geometry is independently associated with complicated carotid artery plaques
por: Strecker, Christoph, et al.
Publicado: (2023)

Common Variants Associated With OSMR Expression Contribute to Carotid Plaque Vulnerability, but Not to Cardiovascular Disease in Humans
por: van Keulen, Danielle, et al.
Publicado: (2021)

Population distribution of traditional and the emerging cardiovascular risk factors carotid plaque and IMT: the REFINE-Reykjavik study with comparison with the Tromsø study
por: Thorsson, Bolli, et al.
Publicado: (2018)

The monomeric C-reactive protein level is associated with the increase in carotid plaque number in patients with subclinical carotid atherosclerosis
por: Melnikov, Ivan, et al.
Publicado: (2022)

Carotid Plaque Composition and the Importance of Non-Invasive in Imaging Stroke Prevention
por: Geiger, Martin Andreas, et al.
Publicado: (2022)

Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm
por: Chen, Ya-Fang, et al.
Publicado: (2023)

Aortic Valve Sclerosis as an Important Predictor of Long-Term Mortality in Patients With Carotid Atheromatous Plaque Requiring Carotid Endarterectomy
por: Myasoedova, Veronika A., et al.
Publicado: (2021)

The Association Between Time-Varying Wall Shear Stress and the Development of Plaque Ulcerations in Carotid Arteries From the Plaque at Risk Study
por: Dilba, Kristine, et al.
Publicado: (2021)

Association of Carotid Plaque Morphology and Glycemic and Lipid Parameters in the Northern Manhattan Study
por: Della-Morte, David, et al.
Publicado: (2022)

Quantitative and qualitative features of carotid and coronary atherosclerotic plaque among men and women
por: Onnis, Carlotta, et al.
Publicado: (2022)

Life's Essential 8 and carotid artery plaques: the Swedish cardiopulmonary bioimage study
por: Herraiz-Adillo, Ángel, et al.
Publicado: (2023)

Radiomics and artificial neural networks modelling for identification of high-risk carotid plaques
por: Gui, Chengzhi, et al.
Publicado: (2023)

Combined effect of inter-arm systolic blood pressure difference and carotid artery plaque on cardiovascular diseases and mortality: A prospective cohort study
por: Yun, Cuijuan, et al.
Publicado: (2022)

Applying Machine Learning to Carotid Sonographic Features for Recurrent Stroke in Patients With Acute Stroke
por: Lin, Shih-Yi, et al.
Publicado: (2022)

Joint effects of carotid plaques and renal impairment on the risk of cardiovascular disease and all-cause death in a community-based population: The Kailuan cohort study
por: Li, Wen, et al.
Publicado: (2022)

Association of remnant cholesterol and lipid parameters with new-onset carotid plaque in Chinese population
por: Liu, Bo, et al.
Publicado: (2022)

Sleep apnea-COPD overlap syndrome is associated with larger left carotid atherosclerotic plaques
por: Landete, Pedro, et al.
Publicado: (2023)

The Correlation Between Collagen Types and Ultrasound Feature Score in Evaluating the Vulnerability of Carotid Artery Plaque
por: Han, Ruijun, et al.
Publicado: (2021)

The utility of ultrasound and computed tomography in the assessment of carotid artery plaque vulnerability–A mini review
por: Singh, Aniruddha, et al.
Publicado: (2022)

Quantification of carotid plaque composition with a multi-contrast atherosclerosis characterization (MATCH) MRI sequence
por: Kassem, Mohamed, et al.
Publicado: (2023)

Extracranial carotid artery atherosclerotic plaque and APOE polymorphisms: a systematic review and meta-analysis
por: Culleton, Sinéad, et al.
Publicado: (2023)

Co-existing Hypertension and Hyperhomocysteinemia Increases the Risk of Carotid Vulnerable Plaque and Subsequent Vascular Event: An MR Vessel Wall Imaging Study
por: Li, Dongye, et al.
Publicado: (2022)

Association of immunoglobulin G N-glycosylation with carotid atherosclerotic plaque phenotypes and actual clinical cardiovascular events: a study protocol for a longitudinal prospective cohort study
por: Tian, Cuihong, et al.
Publicado: (2022)

Features of non-stenotic carotid plaque on computed tomographic angiography in patients with embolic stroke of undetermined source
por: Guo, Danling, et al.
Publicado: (2022)

Corrigendum: The correlation between collagen types and ultrasound feature score in evaluating the vulnerability of carotid artery plaque
por: Han, Ruijun, et al.
Publicado: (2023)

Association between Triglyceride-Glucose Index and carotid plaque in Japanese population: a cross-sectional study
por: Liu, Jiuling, et al.
Publicado: (2023)

Insulin Therapy Is Associated With an Increased Risk of Carotid Plaque in Type 2 Diabetes: A Real-World Study
por: Ke, Jiang-Feng, et al.
Publicado: (2021)

Endovascular Debulking of Human Carotid Plaques by Using an Excimer Laser Combined With Balloon Angioplasty: An ex vivo Study
por: Yang, Kai, et al.
Publicado: (2021)

Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging
por: Sanchez-Martinez, Sergio, et al.
Publicado: (2022)

Advances in machine learning applications for cardiovascular 4D flow MRI
por: Peper, Eva S., et al.
Publicado: (2022)

A Machine Learning-Based Prediction Model for Cardiovascular Risk in Women With Preeclampsia
por: Wang, Guan, et al.
Publicado: (2021)

Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care
por: Amal, Saeed, et al.
Publicado: (2022)

Is There a Diabetes–Kidney–Heart Continuum? Perspectives From the Results of the Cardiovascular and Renal Outcome Clinical Trials With SGLT2 Inhibitors
por: Bao, Liwen, et al.
Publicado: (2021)

Coronary plaque burden predicts perioperative cardiovascular events after coronary endarterectomy
por: Gao, Mingxin, et al.
Publicado: (2023)

LDL-C:HDL-C ratio and common carotid plaque in Xinjiang Uygur obese adults: a cross-sectional study
por: Zhao, Qiang, et al.
Publicado: (2018)

A High Triglyceride-Glucose Index Value Is Associated With an Increased Risk of Carotid Plaque Burden in Subjects With Prediabetes and New-Onset Type 2 Diabetes: A Real-World Study
por: Jiang, Zhen-zhen, et al.
Publicado: (2022)

Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity
por: Pham, Huy, et al.
Publicado: (2023)

Editorial: Systems biology and data-driven machine learning-based models in personalized cardiovascular medicine
por: Hueso, Miguel, et al.
Publicado: (2023)

Applications of machine learning in familial hypercholesterolemia
por: Luo, Ren-Fei, et al.
Publicado: (2023)

The Predictive Value of Carotid Ultrasonography With Cardiovascular Risk Factors—A “SPIDER” Promoting Atherosclerosis
por: Li, Hongwei, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_819pung8t4nhcpij7hka095p8u