AIMC Topic: Heart Disease Risk Factors

Clear Filters Showing 31 to 40 of 62 articles

Artificial intelligence and body composition.

Diabetes & metabolic syndrome Feb 26, 2023
AIMS: Although obesity is associated with chronic disease, a large section of the population with high BMI does not have an increased risk of metabolic disease. Increased visceral adiposity and sarcopenia are also risk factors for metabolic disease i...
Artificial Intelligence Hypertension Electrocardiography Body Composition Heart Disease Risk Factors Humans
View on PubMed DOI

Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction.

JACC. Cardiovascular imaging Feb 8, 2023
BACKGROUND: Epicardial adipose tissue (EAT) volume is a marker of visceral obesity that can be measured in coronary computed tomography angiograms (CCTA). The clinical value of integrating this measurement in routine CCTA interpretation has not been ...
Adipose Tissue Predictive Value of Tests Coronary Artery Disease Obesity, Abdominal Risk Factors Cardiovascular Diseases Risk Assessment Deep Learning Humans Tomography, X-Ray Computed Atrial Fibrillation Heart Disease Risk Factors Pericardium
View on PubMed DOI

Epidemiological predictive modeling: lessons learned from the Kuopio ischemic heart disease risk factor study.

Annals of epidemiology Mar 27, 2022
PURPOSE: The use of predictive models in epidemiology is relatively narrow as most of the studies report results of traditional statistical models such as Linear, Logistic, or Cox regressions. In this study, a high-dimensional epidemiological cohort,...
Risk Factors Aged Humans Male Machine Learning Logistic Models Cohort Studies Heart Disease Risk Factors
View on PubMed DOI

Automated Cardioailment Identification and Prevention by Hybrid Machine Learning Models.

Computational and mathematical methods in medicine Feb 15, 2022
Accurate prediction of cardiovascular disease is necessary and considered to be a difficult attempt to treat a patient effectively before a heart attack occurs. According to recent studies, heart disease is said to be one of the leading origins of de...
Algorithms Databases, Factual Female Male Diagnosis, Computer-Assisted Computational Biology Bayes Theorem Heart Diseases Humans Machine Learning Probability Heart Disease Risk Factors Models, Cardiovascular
View on PubMed DOI

Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES.

Scientific reports Feb 10, 2022
The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is the leading cause of human death. Since it is difficult for physicians to screen thousands of people, high-accuracy and interpretable methods need to be prese...
Female Risk Factors Male Cardiovascular Diseases Humans Machine Learning Republic of Korea Heart Disease Risk Factors Prevalence Nutrition Surveys Support Vector Machine Cerebrovascular Disorders
View on PubMed DOI

Deep learning segmentation and quantification method for assessing epicardial adipose tissue in CT calcium score scans.

Scientific reports Feb 10, 2022
Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the risk of major adverse cardiac events. As manual quantification of EAT is time-consuming, requires specialized training, and is prone to human error, we develope...
Humans Tomography, X-Ray Computed Deep Learning Adipose Tissue Risk Organ Size Pericardium Coronary Artery Disease Calcium Heart Disease Risk Factors
View on PubMed DOI

Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction.

Scientific reports Jan 20, 2022
This study looked at novel data sources for cardiovascular risk prediction including detailed lifestyle questionnaire and continuous blood pressure monitoring, using ensemble machine learning algorithms (MLAs). The reference conventional risk score c...
Heart Rate Adult Heart Disease Risk Factors Male Middle Aged Exercise Machine Learning Singapore Algorithms Surveys and Questionnaires Coronary Artery Disease Female Hypertension Calcium Aged Humans Life Style Blood Pressure Monitoring, Ambulatory
View on PubMed DOI

Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients.

Rheumatology international Jan 11, 2022
The study proposes a novel machine learning (ML) paradigm for cardiovascular disease (CVD) detection in individuals at medium to high cardiovascular risk using data from a Greek cohort of 542 individuals with rheumatoid arthritis, or diabetes mellitu...
Femoral Artery Cross-Sectional Studies Male Cardiovascular Diseases Pilot Projects Arthritis, Rheumatoid Heart Disease Risk Factors Carotid Arteries Plaque, Atherosclerotic Humans Machine Learning Female Reproducibility of Results
View on PubMed DOI

Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms.

Computational and mathematical methods in medicine Dec 20, 2021
Cardiovascular disease (CVD) is one of the most common causes of death that kills approximately 17 million people annually. The main reasons behind CVD are myocardial infarction and the failure of the heart to pump blood normally. Doctors could diagn...
Aged, 80 and over Decision Trees Databases, Factual Adult Humans Diagnosis, Computer-Assisted Electronic Health Records Heart Failure Male Female Neural Networks, Computer Computational Biology Heart Disease Risk Factors Middle Aged Aged Logistic Models Chi-Square Distribution Machine Learning Support Vector Machine Algorithms
View on PubMed DOI

Machine-Learning-Derived Model for the Stratification of Cardiovascular risk in Patients with Ischemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 31, 2021
UNLABELLED: Background Stratification of cardiovascular risk in patients with ischemic stroke is important as it may inform management strategies. We aimed to develop a machine-learning-derived prognostic model for the prediction of cardiovascular ri...
Registries Humans Machine Learning Heart Disease Risk Factors Decision Support Techniques Aged Retrospective Studies Risk Assessment Prognosis Aged, 80 and over Male Clinical Decision-Making Time Factors Predictive Value of Tests Female Cardiovascular Diseases Ischemic Stroke Reproducibility of Results Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals