A Machine Learning Framework for Feature Selection in Heart Disease Classification Using Improved Particle Swarm Optimization with Support Vector Machine Classifier

Machine learning is used as an effective support system in health diagnosis which contains large volume of data. More commonly, analyzing such a large volume of data consumes more resources and execution time. In addition, all the features present in the dataset do not support in achieving the solut...

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Vydáno v:	Programming and computer software Ročník 44; číslo 6; s. 388 - 397
Hlavní autoři:	Vijayashree, J., Sultana, H. Parveen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Moscow Pleiades Publishing 01.11.2018 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Cardiovascular disease Classification Classifiers Computer Science Datasets Genetic algorithms Heart diseases Heuristic methods Machine learning Medical records Operating Systems Particle swarm optimization Performance evaluation Software Engineering Software Engineering/Programming and Operating Systems Support systems Support vector machines population diversity function tuning function Support Vector Machine fitness function ROC analysis Particle Swarm Optimization
ISSN:	0361-7688, 1608-3261
On-line přístup:	Získat plný text
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