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Efficacy of ColonFlag as a Complete Blood Count-Based Machine Learning Algorithm for Early Detection...

Efficacy of ColonFlag as a Complete Blood Count-Based Machine Learning Algorithm for Early Detection...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_76087b7bfab249b7818ab17d8cbf88b0

Efficacy of ColonFlag as a Complete Blood Count-Based Machine Learning Algorithm for Early Detection of Colorectal Cancer: A Systematic Review

About this item

Full title

Efficacy of ColonFlag as a Complete Blood Count-Based Machine Learning Algorithm for Early Detection of Colorectal Cancer: A Systematic Review

Publisher

Iran: Shiraz University of Medical Sciences

Journal title

Iranian journal of medical sciences, 2024-10, Vol.49 (10), p.610-622

Language

English

Formats

Publication information

Publisher

Iran: Shiraz University of Medical Sciences

More information

Scope and Contents

Contents

Colorectal cancer (CRC) screening is essential to reduce incidence and mortality rates. However, participation in screening remains suboptimal. ColonFlag, a machine learning algorithm using complete blood count (CBC), identifies individuals at high CRC risk using routinely performed tests. This study aims to review the existing literature assessing...

Alternative Titles

Full title

Efficacy of ColonFlag as a Complete Blood Count-Based Machine Learning Algorithm for Early Detection of Colorectal Cancer: A Systematic Review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_76087b7bfab249b7818ab17d8cbf88b0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_76087b7bfab249b7818ab17d8cbf88b0

Other Identifiers

ISSN

0253-0716,1735-3688

E-ISSN

1735-3688

DOI

10.30476/ijms.2024.101219.3400

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