S198 Predicting Post-Operative C. difficile Infection (CDI) With Automated Machine Learning (AutoML) Algorithms Using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Database. (October 2022)
- Record Type:
- Journal Article
- Title:
- S198 Predicting Post-Operative C. difficile Infection (CDI) With Automated Machine Learning (AutoML) Algorithms Using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Database. (October 2022)
- Main Title:
- S198 Predicting Post-Operative C. difficile Infection (CDI) With Automated Machine Learning (AutoML) Algorithms Using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Database
- Authors:
- Li, Terry
Abaza, Ehab
Aphinyanaphongs, Yindalon
Axelrad, Jordan
Chen, Ji
Kelleher, Andrew
Oeding, Jacob
Hu, Eric
Martin, Jacob
Katz, Gregory
Brejt, Shelly
Castillo, Gabriel
Ostberg, Nicolai
Kan, Karen - Other Names:
- Thangirala Avinash presenter.
- Abstract:
- Is Part Of:
- American journal of gastroenterology. Volume 117:Number 10(2022)supplement 10S
- Journal:
- American journal of gastroenterology
- Issue:
- Volume 117:Number 10(2022)supplement 10S
- Issue Display:
- Volume 117, Issue 10 (2022)
- Year:
- 2022
- Volume:
- 117
- Issue:
- 10
- Issue Sort Value:
- 2022-0117-0010-0000
- Page Start:
- e143
- Page End:
- e144
- Publication Date:
- 2022-10
- 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.0000857432.69979.27 ↗
- 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
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British Library HMNTS - ELD Digital store - Ingest File:
- 24395.xml