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Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adap...

Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adap...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1979725042

Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System

About this item

Full title

Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System

Publisher

Dordrecht: Springer Nature B.V

Journal title

Multimedia tools and applications, 2018-02, Vol.77 (4), p.4379-4399

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Nature B.V

More information

Scope and Contents

Contents

Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System (MKL with ANFIS) based deep learning method is proposed in this paper for heart disease diagnosis. The proposed MKL with ANFIS based deep learning method follows two-fold approach. MKL method is used to divide parameters between heart disease patients and normal individuals. The re...

Alternative Titles

Full title

Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_1979725042

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1979725042

Other Identifiers

ISSN

1380-7501

E-ISSN

1573-7721

DOI

10.1007/s11042-017-5515-y

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