AIMC Topic: Heart Diseases

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Machine-learning model for predicting left atrial thrombus in patients with paroxysmal atrial fibrillation.

BMC cardiovascular disorders Jun 2, 2025
OBJECTIVE: Left atrial thrombus (LAT) poses a significant risk for stroke and other thromboembolic complication in patients with atrial fibrillation (AF). This study aimed to evaluate the incidence and predictors of LAT in patients with paroxysmal AF...
Male Middle Aged Risk Assessment Female Risk Factors Aged Thrombosis Atrial Fibrillation Heart Diseases China Incidence Predictive Value of Tests Humans Decision Support Techniques Machine Learning Prognosis Retrospective Studies
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Optimized machine learning mechanism for big data healthcare system to predict disease risk factor.

Scientific reports Apr 24, 2025
Heart disease is becoming more and more common in modern society because of factors like stress, inadequate diets, etc. Early identification of heart disease risk factors is essential as it allows for treatment plans that may reduce the risk of sever...
Big Data Heart Diseases Heart Disease Risk Factors Risk Factors Risk Assessment Humans Machine Learning Delivery of Health Care
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Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets.

Scientific reports Apr 22, 2025
Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagn...
Ensemble Learning Humans Machine Learning Heart Diseases
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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy.

Scientific reports Apr 18, 2025
This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and achieves higher accuracy than the baseline model....
Humans Machine Learning Heart Diseases Logistic Models Support Vector Machine Random Forest Algorithms Reproducibility of Results
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A hybrid approach with metaheuristic optimization and random forest in improving heart disease prediction.

Scientific reports Mar 31, 2025
Cardiovascular diseases (CVD)  a major cause of morbidity and mortality among the world's non-communicable disease incidences. Though these practices are in use for diagnostics of different CVDs in clinical settings, need improvement because they are...
Random Forest Humans Heart Diseases Machine Learning Algorithms
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Construction and validation of a predictive model for intracardiac thrombus risk in patients with dilated cardiomyopathy: a retrospective study.

BMC cardiovascular disorders Mar 27, 2025
BACKGROUND: Systemic embolic events due to exfoliation of intracardiac thrombus (ICT) are one of the catastrophic complications of dilated cardiomyopathy (DCM). This study intended to develop a prediction model to predict the risk of ICT in patients ...
Support Vector Machine Predictive Value of Tests Thrombosis Humans Heart Diseases Cardiomyopathy, Dilated Female Male Reproducibility of Results Middle Aged Risk Factors Decision Support Techniques Risk Assessment Aged Prognosis Adult Retrospective Studies
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Optimizing heart disease diagnosis with advanced machine learning models: a comparison of predictive performance.

BMC cardiovascular disorders Mar 22, 2025
Cardiovascular disease is the leading cause of mortality globally, necessitating precise and prompt predictive instruments to enhance patient outcomes. In recent years, machine learning methodologies have demonstrated significant potential in enhanci...
Heart Diseases Humans Aged Prognosis Machine Learning Male Female Risk Assessment Decision Support Techniques Middle Aged Reproducibility of Results Diagnosis, Computer-Assisted Databases, Factual Predictive Value of Tests
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Integrated fusion approach for multi-class heart disease classification through ECG and PCG signals with deep hybrid neural networks.

Scientific reports Mar 8, 2025
Detection and classification of cardiovascular diseases are crucial for early diagnosis and prediction of heart-related conditions. Existing methods rely on either electrocardiogram or phonocardiogram signals, resulting in higher false positive rates...
Signal Processing, Computer-Assisted Heart Diseases Phonocardiography Neural Networks, Computer Algorithms Electrocardiography Humans
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An extensive experimental analysis for heart disease prediction using artificial intelligence techniques.

Scientific reports Feb 20, 2025
The heart is an important organ that plays a crucial role in maintaining life. Unfortunately, heart disease is one of the major causes of mortality globally. Early and accurate detection can significantly improve the situation by enabling preventive ...
Heart Diseases Humans Algorithms Artificial Intelligence Support Vector Machine Principal Component Analysis
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An ideally designed deep trust network model for heart disease prediction based on seagull optimization and Ruzzo Tompa algorithm.

Scientific reports Feb 19, 2025
Diet, stress, genetics, and a sedentary lifestyle may all contribute to heart disease rates. Although recent studies propose comprehensive automated diagnostic systems, these systems tend to focus on one aspect, such as feature selection, prioritizat...
Humans Neural Networks, Computer Algorithms Heart Diseases
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