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
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
Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques
Sign Up to like & getrecommendations! Published in 2020 at "Iete Journal of Research"
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
Research on Disease Prediction Based on Improved DeepFM and IoMT
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3062687
Abstract: In recent years, with the increase of computer computing power, Deep Learning has begun to be favored. Its learning of non-linear feature combinations has played a role that traditional machine learning cannot reach in almost… read more here.
Keywords: disease prediction; disease; improved deepfm; research ... See more keywords
Secure IoMT for Disease Prediction Empowered With Transfer Learning in Healthcare 5.0, the Concept and Case Study
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3266156
Abstract: Identifying human diseases remains a difficult process, even in the age of advanced information technology and the smart healthcare industry 5.0. In the smart healthcare industry 5.0, precise prediction of human diseases, particularly lethal cancer… read more here.
Keywords: transfer learning; disease prediction; healthcare; secure iomt ... See more keywords
sCrop: A Novel Device for Sustainable Automatic Disease Prediction, Crop Selection, and Irrigation in Internet-of-Agro-Things for Smart Agriculture
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DOI: 10.1109/jsen.2020.3032438
Abstract: Agriculture Cyber-Physical System (A-CPS) is becoming increasingly important in enhancing crop quality and productivity by utilizing minimum cropland. This paper introduces the innovative idea of the Internet-of-Agro-Things (IoAT) with an explanation of the automatic detection… read more here.
Keywords: disease prediction; agriculture; crop; internet agro ... See more keywords