AIMC Topic: Coronary Artery Disease
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Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.
PloS one
Aug 31, 2018
Prognostic modelling is important in clinical practice and epidemiology for patient management and research. Electronic health records (EHR) provide large quantities of data for such models, but conventional epidemiological approaches require signifi...
An Associative Memory Approach to Healthcare Monitoring and Decision Making.
Sensors (Basel, Switzerland)
Aug 16, 2018
The rapid proliferation of connectivity, availability of ubiquitous computing, miniaturization of sensors and communication technology, have changed healthcare in all its areas, creating the well-known healthcare paradigm of e-Health. In this paper, ...
Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning.
PloS one
Aug 8, 2018
BACKGROUND: Artificial intelligence (AI) techniques are increasingly applied to cardiovascular (CV) medicine in arenas ranging from genomics to cardiac imaging analysis. Cardiac Phase Space Tomography Analysis (cPSTA), employing machine-learned linea...
Machine learning algorithm-based risk prediction model of coronary artery disease.
Molecular biology reports
Jul 11, 2018
In view of high mortality associated with coronary artery disease (CAD), development of an early predicting tool will be beneficial in reducing the burden of the disease. The database comprising demographic, conventional, folate/xenobiotic genetic ri...
Epistasis, Genetic
Multifactor Dimensionality Reduction
Xenobiotics
Cytochrome P-450 CYP1A1
Glycine Hydroxymethyltransferase
Genetic Predisposition to Disease
Polymorphism, Single Nucleotide
Coronary Artery Disease
Folic Acid
Machine Learning
Algorithms
Forecasting
Female
Risk Factors
Aged
Humans
Adult
Male
Middle Aged
Case-Control Studies
Machine learning in cardiac CT: Basic concepts and contemporary data.
Journal of cardiovascular computed tomography
Apr 30, 2018
Propelled by the synergy of the groundbreaking advancements in the ability to analyze high-dimensional datasets and the increasing availability of imaging and clinical data, machine learning (ML) is poised to transform the practice of cardiovascular ...
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.
Journal of cardiovascular computed tomography
Apr 30, 2018
INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 1...
Prognosis
Female
Reproducibility of Results
Risk Factors
Aged
Humans
Machine Learning
Algorithms
ROC Curve
Predictive Value of Tests
Area Under Curve
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Male
Middle Aged
Risk Assessment
Severity of Illness Index
Time Factors
Multidetector Computed Tomography
Plaque, Atherosclerotic
Computed Tomography Angiography
Coronary Stenosis
Registries
Coronary Artery Disease
Myocardial Infarction
Coronary Vessels
Automated estimation of image quality for coronary computed tomographic angiography using machine learning.
European radiology
Mar 23, 2018
OBJECTIVES: Our goal was to evaluate the efficacy of a fully automated method for assessing the image quality (IQ) of coronary computed tomography angiography (CCTA).
Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.
European radiology
Jan 19, 2018
OBJECTIVES: We aimed to investigate if lesion-specific ischaemia by invasive fractional flow reserve (FFR) can be predicted by an integrated machine learning (ML) ischaemia risk score from quantitative plaque measures from coronary computed tomograph...
Hemodynamics
Coronary Angiography
Coronary Artery Disease
Myocardial Ischemia
Plaque, Atherosclerotic
Vascular Calcification
Computed Tomography Angiography
Coronary Stenosis
Fractional Flow Reserve, Myocardial
Aged, 80 and over
Adult
Male
Middle Aged
Severity of Illness Index
Humans
Machine Learning
Female
Aged
Robotic-assisted transradial diagnostic coronary angiography.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Jan 4, 2018
Robotic percutaneous coronary interventions have recently been introduced in the cardiac catheterization laboratory. Robotics offers benefits of greater precision for stent placement and occupational hazard protection for operators and staff. First g...
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.
Computers in biology and medicine
Jan 2, 2018
Coronary artery disease (CAD) is the most common cause of heart disease globally. This is because there is no symptom exhibited in its initial phase until the disease progresses to an advanced stage. The electrocardiogram (ECG) is a widely accessible...
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