AIMC Topic: Heart Disease Risk Factors

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Deep convolutional neural networks to predict cardiovascular risk from computed tomography.

Nature communications Jan 29, 2021
Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible on all computed tomography (CT) scans of the chest, this information is not routinely quantified as it requires expertise, time, and specialized equipment....
Coronary Vessels Asymptomatic Diseases Follow-Up Studies Calcium Chest Pain Heart Disease Risk Factors Female Reproducibility of Results Aged Male Cardiovascular Diseases Middle Aged Risk Assessment Deep Learning Image Processing, Computer-Assisted Humans Retrospective Studies Tomography, X-Ray Computed
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Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.

The international journal of cardiovascular imaging Nov 12, 2020
Machine learning (ML)-based algorithms for cardiovascular disease (CVD) risk assessment have shown promise in clinical decisions. However, they usually predict binary events using only conventional risk factors. Our overall goal was to develop the "m...
Carotid Stenosis Coronary Stenosis Radiographic Image Interpretation, Computer-Assisted Stroke Male Heart Disease Risk Factors Middle Aged Plaque, Atherosclerotic Prognosis Risk Assessment Pilot Projects Female Diagnosis, Computer-Assisted Humans Ultrasonography Reproducibility of Results Aged Machine Learning Support Vector Machine Cross-Sectional Studies Decision Support Techniques Predictive Value of Tests Coronary Angiography
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Ischemia and outcome prediction by cardiac CT based machine learning.

The international journal of cardiovascular imaging Jul 4, 2020
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for card...
Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Humans Machine Learning Coronary Angiography Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Artery Disease Risk Assessment Heart Disease Risk Factors Severity of Illness Index Coronary Vessels Predictive Value of Tests
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From CT to artificial intelligence for complex assessment of plaque-associated risk.

The international journal of cardiovascular imaging Jul 2, 2020
The recent technological developments in the field of cardiac imaging have established coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in patients with suspected coronary artery disease (CAD). CCTA offers robust inform...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors Coronary Vessels Rupture, Spontaneous Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Machine Learning Prognosis Reproducibility of Results Humans Risk Assessment Severity of Illness Index
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Leisure time physical activity is associated with improved HDL functionality in high cardiovascular risk individuals: a cohort study.

European journal of preventive cardiology Jun 2, 2020
AIMS: Physical activity has consistently been shown to improve cardiovascular health and high-density lipoprotein-cholesterol levels. However, only small and heterogeneous studies have investigated the effect of exercise on high-density lipoprotein f...
Cholesterol Ester Transfer Proteins Exercise Cholesterol, HDL Humans Leisure Activities Heart Disease Risk Factors Risk Factors Cohort Studies Adult Diabetes Mellitus, Type 2 Cardiovascular Diseases
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State-of-the-Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System.

Journal of the American Heart Association Feb 13, 2020
Therapy, Computer-Assisted Outcome and Process Assessment, Health Care Data Mining Heart Disease Risk Factors Humans Quality Improvement Machine Learning Quality Indicators, Health Care Precision Medicine Cardiovascular Diseases Diagnosis, Computer-Assisted Treatment Outcome
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Interpretable machine learning analysis of immunoinflammatory biomarkers for predicting CHD among NAFLD patients.

Cardiovascular diabetology Jul 3, 2025
BACKGROUND: Coronary Heart Disease (CHD) and Non-Alcoholic Fatty Liver Disease (NAFLD) share overlapping pathogenic mechanisms including adipose tissue dysfunction, insulin resistance, and systemic inflammation mediated by adipokines. However, the sp...
Retrospective Studies Female Aged Middle Aged Humans Risk Assessment Machine Learning Inflammation Biomarkers Adult Predictive Value of Tests Prognosis Male Coronary Angiography Non-alcoholic Fatty Liver Disease Heart Disease Risk Factors Inflammation Mediators Coronary Disease
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Key factors in predictive analysis of cardiovascular risks in public health.

Scientific reports Jul 2, 2025
This research emphasizes the role of analytics in evaluating the risk of disease (CVD) focusing on thorough data preparation and feature engineering for accurate predictions. We studied machine learning (ML) and learning (DL) models, such as Logistic...
Machine Learning Risk Factors Cardiovascular Diseases Risk Assessment Humans Public Health Deep Learning ROC Curve Logistic Models Heart Disease Risk Factors
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Development of a machine learning model for predicting cardiovascular risk factors and major adverse cardiovascular events in young adults with glucose metabolism disorders.

Medicina clinica Jun 13, 2025
BACKGROUND: Glucose metabolism disorders (GMDs) are a serious global public health issue, characterized by a high incidence rate and youthfulness. GMDs contribute to the occurrence of major adverse cardiovascular events (MACEs), meanwhile with the re...
Humans Machine Learning Female Cardiovascular Diseases Risk Factors Risk Assessment Young Adult Heart Disease Risk Factors Adult Glucose Metabolism Disorders Male
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Predicting cardiovascular risk with hybrid ensemble learning and explainable AI.

Scientific reports May 23, 2025
Cardiovascular diseases (CVDs) are still one of the leading causes of death globally, underscoring the importance of early and right risk prediction for effective preventive measures and therapeutic approaches. This study proposes an innovative hybri...
Humans Neural Networks, Computer Machine Learning Heart Disease Risk Factors Ensemble Learning Risk Factors Cardiovascular Diseases Risk Assessment ROC Curve
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