Prediction of heart disease and classifiers’ sensitivity analysis

Background Heart disease (HD) is one of the most common diseases nowadays, and an early diagnosis of such a disease is a crucial task for many health care providers to prevent their patients for such a disease and to save lives. In this paper, a comparative analysis of different classifiers was perf...

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Veröffentlicht in:	BMC bioinformatics Jg. 21; H. 1; S. 1 - 18
1. Verfasser:	Almustafa, Khaled Mohamad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 02.07.2020 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Bayesian analysis Bioinformatics Biomedical and Life Sciences Cardiovascular disease Cardiovascular diseases Classification Classifiers Comparative analysis Computational Biology/Bioinformatics Computer Appl. in Life Sciences Coronary artery disease Datasets Decision tree J48 Decision trees Feature extraction Health care industry Heart disease (HD) Heart diseases High definition television K-nearest neighbor Life Sciences Machine learning Machine Learning and Artificial Intelligence in Bioinformatics Methodology Methodology Article Microarrays Neural networks Performance enhancement Prediction Sensitivity analysis Support vector machine (SVM) Support vector machines Taiwan Support vector machine (SVM) Feature selection Decision tree J48 Sensitivity analysis Heart disease (HD) Prediction Classification K-nearest neighbor
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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