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S259 Validation of a Machine Learning Algorithm to Measure Adenoma Detection Rate From Screening Col...

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S259 Validation of a Machine Learning Algorithm to Measure Adenoma Detection Rate From Screening Col...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2583029507

S259 Validation of a Machine Learning Algorithm to Measure Adenoma Detection Rate From Screening Colonoscopies in a Large Health System

About this item

Full title

S259 Validation of a Machine Learning Algorithm to Measure Adenoma Detection Rate From Screening Colonoscopies in a Large Health System

Author / Creator

Galoosian, Artin , Soroudi, Camille , Jain, Shailavi , Kahlon, Sartajdeep , McLeod, Megan R. , Kokaly, Alex N. , Yang, Jamie , Peterson, Emily , Maehara, Cleo , Yang, Liu , Muthusamy, Venkatara , Esrailian, Eric , Hsu, William and May, Folasade

Publisher

New York: Wolters Kluwer Health Medical Research, Lippincott Williams & Wilkins

Journal title

The American journal of gastroenterology, 2021-10, Vol.116 (1), p.S115-S115

Language

English

Formats

Articles

Publication information

Publisher

New York: Wolters Kluwer Health Medical Research, Lippincott Williams & Wilkins

Subjects

More information

Alternative Titles

Full title

S259 Validation of a Machine Learning Algorithm to Measure Adenoma Detection Rate From Screening Colonoscopies in a Large Health System

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2583029507

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2583029507

Other Identifiers

ISSN

0002-9270

E-ISSN

1572-0241

DOI

10.14309/01.ajg.0000773508.71234.2b

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