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Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning

Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bcb305a831c640978504d53c17d3749b

Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning

About this item

Full title

Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning

Publisher

England: BioMed Central Ltd

Journal title

BMC infectious diseases, 2024-08, Vol.24 (1), p.875-14, Article 875

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Pulmonary tuberculosis (PTB) is a prevalent chronic disease associated with a significant economic burden on patients. Using machine learning to predict hospitalization costs can allocate medical resources effectively and optimize the cost structure rationally, so as to control the hospitalization costs of patients better.
This research analyzed...

Alternative Titles

Full title

Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_bcb305a831c640978504d53c17d3749b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bcb305a831c640978504d53c17d3749b

Other Identifiers

ISSN

1471-2334

E-ISSN

1471-2334

DOI

10.1186/s12879-024-09771-6

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