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EAGA-MLP-An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis

EAGA-MLP-An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dd085cac720f48278732ffc3d8f0f342

EAGA-MLP-An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis

About this item

Full title

EAGA-MLP-An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2020-07, Vol.20 (14), p.4036

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Disease diagnosis is a critical task which needs to be done with extreme precision. In recent times, medical data mining is gaining popularity in complex healthcare problems based disease datasets. Unstructured healthcare data constitutes irrelevant information which can affect the prediction ability of classifiers. Therefore, an effective attribut...

Alternative Titles

Full title

EAGA-MLP-An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_dd085cac720f48278732ffc3d8f0f342

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dd085cac720f48278732ffc3d8f0f342

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s20144036

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