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Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics

Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec775fc0e4204bf993b0f8d9bd044f56

Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics

About this item

Full title

Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-06, Vol.14 (1), p.12601-19, Article 12601

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Data categorization is a top concern in medical data to predict and detect illnesses; thus, it is applied in modern healthcare informatics. In modern informatics, machine learning and deep learning models have enjoyed great attention for categorizing medical data and improving illness detection. However, the existing techniques, such as features wi...

Alternative Titles

Full title

Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ec775fc0e4204bf993b0f8d9bd044f56

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec775fc0e4204bf993b0f8d9bd044f56

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-63292-5

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