AIMC Topic: Coronary Disease

Clear Filters Showing 1 to 10 of 54 articles

Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

PloS one Aug 7, 2025
Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to global health and is increasingly affecting younger populations. Its treatment and prevention face challenges such as high costs, prolonged recovery per...
Humans Machine Learning Decision Trees Principal Component Analysis Bias Coronary Disease Algorithms Male Support Vector Machine
View on PubMed DOI

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...
Biomarkers Prognosis Retrospective Studies Female Humans Machine Learning Middle Aged Aged Predictive Value of Tests Heart Disease Risk Factors Coronary Disease Risk Assessment Coronary Angiography Adult Inflammation Non-alcoholic Fatty Liver Disease Inflammation Mediators Male
View on PubMed DOI

Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions.

Anais da Academia Brasileira de Ciencias Jun 16, 2025
This research focuses on predicting cardiovascular disease using machine learning classification strategies. The study presents a unique approach by integrating multiple machine learning techniques, leveraging the strengths of Random Forest and Gradi...
Decision Trees Bayes Theorem Data Mining Algorithms Female Male Coronary Disease Humans Machine Learning
View on PubMed DOI

Relationship between amino acid metabolism and inflammation in coronary heart disease (Review).

International journal of molecular medicine Jun 6, 2025
This review delves into the intricate relationship between amino acid metabolism and inflammation in coronary heart disease (CHD). Research shows that disruptions in the metabolism of arginine, glutamate, branched‑chain amino acids (BCAAs) and trypto...
Coronary Disease Humans Animals Inflammation Amino Acids
View on PubMed DOI

Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment.

Scientific reports Apr 17, 2025
Worldwide, coronary heart disease (CHD) is a leading cause of mortality, and its early prediction remains a critical challenge in clinical data analysis. Machine learning (ML) offers valuable diagnostic support by leveraging healthcare data to enhanc...
Male Middle Aged Risk Assessment Coronary Disease Machine Learning Female Aged Humans Neural Networks, Computer
View on PubMed DOI

X-ray Coronary Angiogram images and SYNTAX score to develop Machine-Learning algorithms for CHD Diagnosis.

Scientific data Mar 21, 2025
Coronary Heart Disease (CHD) is becoming a leading cause of death worldwide. To assess coronary artery narrowing or stenosis, doctors use coronary angiography, which is considered the gold-standard method. Interventional cardiologists rely on angiogr...
Algorithms Coronary Disease Coronary Angiography Humans Machine Learning
View on PubMed DOI

An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis.

Scientific reports Feb 9, 2025
Coronary heart disease (CHD) is the world's leading cause of death, contributing to a high mortality rate. This emphasizes the requirement for an advanced decision support system in order to evaluate the risk of CHD. This study presents an Artificial...
Middle Aged Female Risk Assessment Risk Factors Humans Male Coronary Disease Neural Networks, Computer Algorithms
View on PubMed DOI

Explainable machine learning model for assessing health status in patients with comorbid coronary heart disease and depression: Development and validation study.

International journal of medical informatics Jan 23, 2025
BACKGROUND: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and vali...
Male Middle Aged Female Depression Humans Comorbidity Aged Health Status Machine Learning Adult Coronary Disease Algorithms
View on PubMed DOI

Coronary health index based on immunoglobulin light chains to assess coronary heart disease risk with machine learning: a diagnostic trial.

Journal of translational medicine Jan 6, 2025
BACKGROUND: Recent studies suggest a connection between immunoglobulin light chains (IgLCs) and coronary heart disease (CHD). However, current diagnostic methods using peripheral blood IgLCs levels or subtype ratios show limited accuracy for CHD, lac...
Reproducibility of Results Risk Factors Aged Humans Machine Learning ROC Curve Coronary Disease Male Female Middle Aged Immunoglobulin Light Chains Area Under Curve Risk Assessment
View on PubMed DOI

A machine learning algorithm for the identification elevated Lp(a) in patients with, or high-risk of having, coronary heart disease.

International journal of cardiology Oct 2, 2024
BACKGROUND: Decision tree algorithms, obtained by machine learning, provide clusters of patients with similar clinical patterns by the identification of variables that best merge with a given dependent variable.
Adult Male Middle Aged Spain Lipoprotein(a) Registries Coronary Disease Female Risk Factors Aged Humans Machine Learning Algorithms
View on PubMed DOI
Popular Topics
Recent Journals