Ensemble Methods for Heart Disease Prediction
Sign Up to like & getrecommendations! Published in 2021 at "New Generation Computing"
DOI: 10.1007/s00354-021-00124-4
Abstract: Heart disease prediction is a critical task regarding human health. It is based on deriving an Machine Learning model from medical parameters to predict risk levels. In this work, we propose and test novel ensemble… read more here.
Keywords: disease prediction; heart disease; ensemble methods;
An intelligent heart disease prediction system based on swarm-artificial neural network
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06124-1
Abstract: The accurate prediction of cardiovascular disease is an essential and challenging task to treat a patient efficiently before occurring a heart attack. In recent times, various intelligent healthcare frameworks have been designed with different machine… read more here.
Keywords: disease prediction; cardiovascular disease; prediction; disease ... See more keywords
A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets
Sign Up to like & getrecommendations! Published in 2024 at "Health and Technology"
DOI: 10.1007/s12553-024-00835-w
Abstract: Purpose Machine learning models are used to develop and improve various disease prediction systems. Ensemble learning is a machine learning technique that combines many classifiers to increase performance by making more accurate predictions than a… read more here.
Keywords: performance; prediction; disease prediction; machine learning ... See more keywords
Heart disease prediction by using novel optimization algorithm: A supervised learning prospective
Sign Up to like & getrecommendations! Published in 2021 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2021.100696
Abstract: Abstract Data analysis in medicine is becoming more and more frequent to clarify diagnoses, refine research methods, and plan appropriate equipment supplies according to the importance of the pathologies that appear. Artificial intelligence offers software… read more here.
Keywords: heart disease; heart; medicine; disease prediction ... See more keywords
Disease prediction with edge-variational graph convolutional networks
Sign Up to like & getrecommendations! Published in 2022 at "Medical image analysis"
DOI: 10.1016/j.media.2022.102375
Abstract: The need for computational models that can incorporate imaging data with non-imaging data while investigating inter-subject associations arises in the task of population-based disease analysis. Although off-the-shelf deep convolutional neural networks have empowered representation learning… read more here.
Keywords: graph convolutional; population; disease; disease prediction ... See more keywords
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-10358-x
Abstract: Disease risk prediction is a rising challenge in the medical domain. Researchers have widely used machine learning algorithms to solve this challenge. The k-nearest neighbour (KNN) algorithm is the most frequently used among the wide… read more here.
Keywords: disease prediction; performance; disease; knn ... See more keywords
Human monkeypox disease prediction using novel modified restricted Boltzmann machine-based equilibrium optimizer
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-68836-3
Abstract: While the globe continues to struggle to recover from the devastation brought on by the COVID-19 virus's extensive distribution, the recent worrying rise in human monkeypox outbreaks in several nations raises the possibility of a… read more here.
Keywords: monkeypox disease; prediction; disease prediction; human monkeypox ... See more keywords
Optimization of multi-ancestry polygenic risk score disease prediction models
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DOI: 10.1038/s41598-025-02903-1
Abstract: Polygenic risk scores (PRS) have ushered in a new era in genetic epidemiology, offering insights into individual predispositions to a wide range of diseases. However, despite recent marked enhancements in predictive power, PRS-based models still… read more here.
Keywords: disease; risk; prediction models; prs ... See more keywords
Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques
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DOI: 10.1080/03772063.2020.1713916
Abstract: Diseases is an unusual circumstance that affects single or more parts of a human’s body. Because of lifestyle and patrimonial, different kinds of disease are increasing day by day. Among all those ... read more here.
Keywords: comparative study; heart disease; prediction comparative; coronary artery ... See more keywords
A computational framework of routine test data for the cost-effective chronic disease prediction
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad054
Abstract: Chronic diseases, because of insidious onset and long latent period, have become the major global disease burden. However, the current chronic disease diagnosis methods based on genetic markers or imaging analysis are challenging to promote… read more here.
Keywords: cost effective; chronic disease; disease; disease prediction ... See more keywords
Optimized ANFIS Model Using Hybrid Metaheuristic Algorithms for Parkinson’s Disease Prediction in IoT Environment
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3005614
Abstract: Throughout recent years, the progress of telemonitoring and telediagnostics devices for evaluating and tracking Parkinson’s (PD) disease has become increasingly important. The early detection of PD increases the consistency of the treatment of patients and… read more here.
Keywords: optimization; disease prediction; parkinson disease; model ... See more keywords