AIMC Topic: Heart Diseases

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Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.

Computer methods and programs in biomedicine Apr 19, 2022
BACKGROUND: Due to the advancement of medical imaging and computer technology, machine intelligence to analyze clinical image data increases the probability of disease prevention and successful treatment. When diagnosing and detecting heart disease, ...
Humans Image Processing, Computer-Assisted Radiography Heart Diseases Deep Learning Imaging, Three-Dimensional
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An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes.

Journal of healthcare engineering Apr 12, 2022
Heart disease is a severe disorder, which inflicts an adverse burden on all societies and leads to prolonged suffering and disability. We developed a risk evaluation model based on visible low-cost significant noninvasive attributes using hyperparame...
Heart Diseases Support Vector Machine Cluster Analysis Humans Machine Learning Risk Assessment
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Machine learning-based heart disease diagnosis: A systematic literature review.

Artificial intelligence in medicine Mar 29, 2022
Heart disease is one of the significant challenges in today's world and one of the leading causes of many deaths worldwide. Recent advancement of machine learning (ML) application demonstrates that using electrocardiogram (ECG) and patients' data, de...
Heart Diseases Algorithms Electrocardiography Humans Machine Learning
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Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques.

Computational intelligence and neuroscience Feb 21, 2022
INTRODUCTION: Heart disease is emerging as the single most critical cause of death worldwide and is one of the costliest chronic conditions.
Heart Diseases Humans Support Vector Machine Bayes Theorem Machine Learning Reproducibility of Results
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Weak Supervision for Affordable Modeling of Electrocardiogram Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Analysing electrocardiograms (ECGs) is an inexpensive and non-invasive, yet powerful way to diagnose heart disease. ECG studies using Machine Learning to automatically detect abnormal heartbeats so far depend on large, manually annotated datasets. Wh...
Heart Rate Electrocardiography Heart Diseases Humans Machine Learning
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MKELM: Mixed Kernel Extreme Learning Machine using BMDA optimization for web services based heart disease prediction in smart healthcare.

Computer methods in biomechanics and biomedical engineering Feb 17, 2022
In recent years, cardiovascular disease becomes a prominent source of death. The web services connect other medical equipments and the computers via internet for exchanging and combining the data in novel ways. The accurate prediction of heart diseas...
Humans Delivery of Health Care Heart Diseases Amines Machine Learning Algorithms
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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...
Databases, Factual Female Male Diagnosis, Computer-Assisted Machine Learning Algorithms Humans Heart Disease Risk Factors Models, Cardiovascular Heart Diseases Probability Computational Biology Bayes Theorem
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Heuristic-based channel selection with enhanced deep learning for heart disease prediction under WBAN.

Computer methods in biomechanics and biomedical engineering Feb 14, 2022
The main intention of this proposal is to design and develop a new heart disease prediction model via WBAN using three stages. The first stage is data aggregation, in which data is scheduled in Time Division Multiple Access manner based on priority l...
Heuristics Heart Diseases Algorithms Deep Learning Humans Neural Networks, Computer
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Clinical applicability of artificial intelligence for patients with an inherited heart disease: A scoping review.

Trends in cardiovascular medicine Jan 31, 2022
The number of inherited heart disease (IHD) studies using artificial intelligence (AI) has increased rapidly over the last years. In this scoping review, we aimed to present an overview of the current literature available on the applicability of AI w...
Heart Diseases Artificial Intelligence Heart Humans
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Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network.

Computational and mathematical methods in medicine Jan 30, 2022
Heart disease is a common disease affecting human health. Electrocardiogram (ECG) classification is the most effective and direct method to detect heart disease, which is helpful to the diagnosis of most heart disease symptoms. At present, most ECG d...
Supervised Machine Learning Heart Diseases Wavelet Analysis Electrocardiography Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Computational Biology Neural Networks, Computer Algorithms Humans
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