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Aggregating multiple test results to improve medical decision-making

Aggregating multiple test results to improve medical decision-making

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e3658e5c03cd4e80a0104088aedc7f3f

Aggregating multiple test results to improve medical decision-making

About this item

Full title

Aggregating multiple test results to improve medical decision-making

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2025-01, Vol.21 (1), p.e1012749

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Gathering observational data for medical decision-making often involves uncertainties arising from both type I (false positive) and type II (false negative) errors. In this work, we develop a statistical model to study how medical decision-making can be improved by aggregating results from repeated diagnostic and screening tests. Our approach is re...

Alternative Titles

Full title

Aggregating multiple test results to improve medical decision-making

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e3658e5c03cd4e80a0104088aedc7f3f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e3658e5c03cd4e80a0104088aedc7f3f

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1012749

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