RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification

Prasannavenkatesan Theerthagiri; Sahana Devarayapattana Siddalingaiah

doi:10.1007/s11042-023-17825-1

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RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification

Prasannavenkatesan Theerthagiri Sahana Devarayapattana Siddalingaiah

Year: 2023 Journal: Multimedia Tools and Applications Vol: 83 (20)Pages: 59021-59042 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-023-17825-1

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Keywords:

Support vector machine Computer science Feature selection Naive Bayes classifier Artificial intelligence Decision tree Algorithm Machine learning Confusion matrix Statistical classification Feature (linguistics) Logistic regression Pattern recognition (psychology) Data mining

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Artificial Intelligence in Healthcare

Health Sciences → Health Professions → Health Information Management

Liver Disease Diagnosis and Treatment

Health Sciences → Medicine → Epidemiology

Diverse Scientific Research Studies

Health Sciences → Health Professions → General Health Professions

RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification

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