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Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Mod...

Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Mod...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_546238969efd4cdbbd891361f76332fd

Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Models

About this item

Full title

Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Models

Publisher

Hindawi

Journal title

Advances in Public Health, 2023-01, Vol.2023, p.1-11

Language

English

Formats

Publication information

Publisher

Hindawi

More information

Scope and Contents

Contents

Generally, treatment default of diseases by patients is regarded as the biggest threat to favourable disease treatment outcomes. It is seen as the reason for the resurgence of infectious diseases including tuberculosis in some developing countries. Sadly, its occurrence in chronic disease management is associated with high morbidity and mortality r...

Alternative Titles

Full title

Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_546238969efd4cdbbd891361f76332fd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_546238969efd4cdbbd891361f76332fd

Other Identifiers

ISSN

2356-6868

E-ISSN

2314-7784

DOI

10.1155/2023/4168770

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