S152 An Automated Machine Learning Assessment of Withdrawal Time Is Accurate and Correlates with Adenoma Detection Rate. (October 2021)
- Record Type:
- Journal Article
- Title:
- S152 An Automated Machine Learning Assessment of Withdrawal Time Is Accurate and Correlates with Adenoma Detection Rate. (October 2021)
- Main Title:
- S152 An Automated Machine Learning Assessment of Withdrawal Time Is Accurate and Correlates with Adenoma Detection Rate
- Authors:
- Keswani, Rajesh
Etemadi, Mozziyar
Vicente, Florencia Garcia
Yang, Anthony
Pandolfino, John E.
Byrd, Daniel - Abstract:
- Is Part Of:
- American journal of gastroenterology. Volume 116:Supplement(2021)ACG Annual Meeting Abstracts 1
- Journal:
- American journal of gastroenterology
- Issue:
- Volume 116:Supplement(2021)ACG Annual Meeting Abstracts 1
- Issue Display:
- Volume 116, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 116
- Issue:
- 1
- Issue Sort Value:
- 2021-0116-0001-0000
- Page Start:
- S66
- Page End:
- S67
- Publication Date:
- 2021-10
- Subjects:
- Stomach -- Diseases -- Periodicals
Intestines -- Diseases -- Periodicals
Gastroenterology -- Periodicals
Gastrointestinal Diseases -- Periodicals
Electronic journals
Periodicals
616.33 - Journal URLs:
- http://www.mdconsult.com/public/search?search_type=journal&j_sort=pub_date&j_date_range=1995-current&j_issn=0002-9270 ↗
http://www.amjgastro.com/ ↗
http://www.nature.com/ajg/archive/index.html ↗
http://www.sciencedirect.com/science/journal/00029270 ↗
http://www.nature.com/ ↗
http://www3.interscience.wiley.com/journal/117955841/home ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0002-9270;screen=info;ECOIP ↗ - DOI:
- 10.14309/01.ajg.0000773080.37620.21 ↗
- Languages:
- English
- ISSNs:
- 0002-9270
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0824.650000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19915.xml