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Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine...

Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ff0f27137d03442dac9da486bd534d3b

Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine Learning - Based on the ARCTIC Study

About this item

Full title

Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine Learning - Based on the ARCTIC Study

Publisher

New Zealand: Dove Medical Press Limited

Journal title

International journal of chronic obstructive pulmonary disease, 2021-01, Vol.16, p.677-688

Language

English

Formats

Publication information

Publisher

New Zealand: Dove Medical Press Limited

More information

Scope and Contents

Contents

Chronic obstructive pulmonary disease (COPD) exacerbations can negatively impact disease severity, progression, mortality and lead to hospitalizations. We aimed to develop a model that predicts a patient's risk of hospitalization due to severe exacerbations (defined as COPD-related hospitalizations) of COPD, using Swedish patient level data.
Pat...

Alternative Titles

Full title

Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine Learning - Based on the ARCTIC Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ff0f27137d03442dac9da486bd534d3b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ff0f27137d03442dac9da486bd534d3b

Other Identifiers

ISSN

1178-2005,1176-9106

E-ISSN

1178-2005

DOI

10.2147/COPD.S293099