AIMC Topic: Heart Diseases

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Smart Heart Disease Prediction System with IoT and Fog Computing Sectors Enabled by Cascaded Deep Learning Model.

Computational intelligence and neuroscience Jan 10, 2022
Chronic illnesses like chronic respiratory disease, cancer, heart disease, and diabetes are threats to humans around the world. Among them, heart disease with disparate features or symptoms complicates diagnosis. Because of the emergence of smart wea...
Humans Heart Diseases Internet of Things Cloud Computing Neural Networks, Computer Deep Learning
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Use of machine learning to classify high-risk variants of uncertain significance in lamin A/C cardiac disease.

Heart rhythm Dec 24, 2021
BACKGROUND: Variation in lamin A/C results in a spectrum of clinical disease, including arrhythmias and cardiomyopathy. Benign variation is rare, and classification of LMNA missense variants via in silico prediction tools results in a high rate of va...
Lamin Type A Pedigree Cardiac Conduction System Disease Humans Machine Learning Heart Diseases
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Computer-Aided Diagnostics of Heart Disease Risk Prediction Using Boosting Support Vector Machine.

Computational intelligence and neuroscience Dec 23, 2021
Heart diseases are a leading cause of death worldwide, and they have sparked a lot of interest in the scientific community. Because of the high number of impulsive deaths associated with it, early detection is critical. This study proposes a boosting...
Bayes Theorem Humans Heart Diseases Diagnosis, Computer-Assisted Computers Support Vector Machine
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Using Machine Learning Approaches to Predict Short-Term Risk of Cardiotoxicity Among Patients with Colorectal Cancer After Starting Fluoropyrimidine-Based Chemotherapy.

Cardiovascular toxicology Nov 18, 2021
Cardiotoxicity is a severe side effect for colorectal cancer (CRC) patients undergoing fluoropyrimidine-based chemotherapy. To develop and compare machine learning algorithms to predict cardiotoxicity risk among nationally representative CRC patients...
Predictive Value of Tests Fluorouracil Time Factors Treatment Outcome Capecitabine Antimetabolites, Antineoplastic SEER Program Heart Diseases Colorectal Neoplasms Male Middle Aged Risk Assessment Risk Factors Aged Humans Decision Support Techniques Machine Learning Female Cardiotoxicity
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Computational Learning Model for Prediction of Heart Disease Using Machine Learning Based on a New Regularizer.

Computational intelligence and neuroscience Nov 11, 2021
Heart diseases are characterized as heterogeneous diseases comprising multiple subtypes. Early diagnosis and prognosis of heart disease are essential to facilitate the clinical management of patients. In this research, a new computational model for p...
Heart Diseases Humans Machine Learning
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Robust optimization of convolutional neural networks with a uniform experiment design method: a case of phonocardiogram testing in patients with heart diseases.

BMC bioinformatics Nov 8, 2021
BACKGROUND: Heart sound measurement is crucial for analyzing and diagnosing patients with heart diseases. This study employed phonocardiogram signals as the input signal for heart disease analysis due to the accessibility of the respective method. Th...
Heart Diseases Neural Networks, Computer Artificial Intelligence Humans
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Effective prediction of heart disease using hybrid ensemble deep learning and tunicate swarm algorithm.

Journal of biomolecular structure & dynamics Oct 18, 2021
Heart disease (HD) is the major reason for the rampant cause of death around the world. It is deemed as a crucial illness among the middle and old age people which tends to high mortality rates. Recently, Effects of HD is presenting a shocking rise i...
India Data Mining Heart Diseases Algorithms Deep Learning Humans
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Heart Disease Prediction Based on the Embedded Feature Selection Method and Deep Neural Network.

Journal of healthcare engineering Sep 29, 2021
In recent decades, heart disease threatens people's health seriously because of its prevalence and high risk of death. Therefore, predicting heart disease through some simple physical indicators obtained from the regular physical examination at an ea...
Neural Networks, Computer Algorithms Humans Physical Examination Health Services Heart Diseases
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Machine Learning for Real-Time Heart Disease Prediction.

IEEE journal of biomedical and health informatics Sep 3, 2021
Heart-related anomalies are among the most common causes of death worldwide. Patients are often asymptomatic until a fatal event happens, and even when they are under observation, trained personnel is needed in order to identify a heart anomaly. In t...
Machine Learning Algorithms Electrocardiography Arrhythmias, Cardiac Humans Heart Diseases
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Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison.

Computers in biology and medicine Jul 21, 2021
Machine learning and data mining-based approaches to prediction and detection of heart disease would be of great clinical utility, but are highly challenging to develop. In most countries there is a lack of cardiovascular expertise and a significant ...
Heart Diseases Algorithms Supervised Machine Learning Humans
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