An Integrated System for Assessing Stroke Risk
Copyright policy )An Integrated System for Assessing Stroke Risk
The objective of this article is to present an integrated system for the assessment of risk of stroke based on two modules: 1) clinical risk factors and noninvasive investigations, and 2) carotid plaque texture analysis. The system supports the data collected from the Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) natural history study that includes following data: 1) clinical, biochemical, and electrocardiographic risk factors associated with cardiovascular deaths, and 2) whether any independent risk factors can be used to identify a high-risk group for cardiovascular death. Furthermore, the carotid plaque texture analysis module supports the normalization, despeckling, segmentation, texture feature extraction, and classification of ultrasound plaque images.
- University of Cyprus Cyprus
- Cyprus University of Technology Cyprus
- University of New Mexico United States
Risk analysis, Medical Engineering, Carotid plaque texture analysis, atherosclerotic plaque, electrocardiogram, Noninvasive investigations, Pattern Recognition, Automated, cause of death, statistical analysis, image analysis, Reference Values, Risk Factors, Clinical risk factors, Algorithm design and analysis, Humans, Carotid Stenosis, human, Diagnosis, Computer-Assisted, Prospective Studies, Electronic Data Processing, ultrasound, Myocardium, high risk population, Automatic Data Processing, Decision Trees, article, Ιntegrated system, Anatomy, Regional, Decision Support Systems, Clinical, stroke, brain ischemia, Stroke, Carotid Sinus, risk factor, Knowledge representation, Data Interpretation, Statistical, Engineering and Technology, Database Management Systems, carotid artery obstruction, Medical Record Linkage, entropy, Algorithms, Carotid Artery, Internal, intima
Risk analysis, Medical Engineering, Carotid plaque texture analysis, atherosclerotic plaque, electrocardiogram, Noninvasive investigations, Pattern Recognition, Automated, cause of death, statistical analysis, image analysis, Reference Values, Risk Factors, Clinical risk factors, Algorithm design and analysis, Humans, Carotid Stenosis, human, Diagnosis, Computer-Assisted, Prospective Studies, Electronic Data Processing, ultrasound, Myocardium, high risk population, Automatic Data Processing, Decision Trees, article, Ιntegrated system, Anatomy, Regional, Decision Support Systems, Clinical, stroke, brain ischemia, Stroke, Carotid Sinus, risk factor, Knowledge representation, Data Interpretation, Statistical, Engineering and Technology, Database Management Systems, carotid artery obstruction, Medical Record Linkage, entropy, Algorithms, Carotid Artery, Internal, intima
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