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Machine Learning Techniques Differentiate Alcohol-Associated Hepatitis From Acute Cholangitis in Pat...

Machine Learning Techniques Differentiate Alcohol-Associated Hepatitis From Acute Cholangitis in Pat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2685035008

Machine Learning Techniques Differentiate Alcohol-Associated Hepatitis From Acute Cholangitis in Patients With Systemic Inflammation and Elevated Liver Enzymes

About this item

Full title

Machine Learning Techniques Differentiate Alcohol-Associated Hepatitis From Acute Cholangitis in Patients With Systemic Inflammation and Elevated Liver Enzymes

Publisher

Elsevier, Inc

Journal title

Mayo Clinic proceedings, 2022-07, Vol.97 (7), p.1326-1336

Language

English

Formats

Publication information

Publisher

Elsevier, Inc

More information

Scope and Contents

Contents

OBJECTIVETo develop machine learning algorithms (MLAs) that can differentiate patients with acute cholangitis (AC) and alcohol-associated hepatitis (AH) using simple laboratory variables. METHODSA study was conducted of 459 adult patients admitted to Mayo Clinic, Rochester, with AH (n=265) or AC (n=194) from January 1, 2010, to December 31, 2019. T...

Alternative Titles

Full title

Machine Learning Techniques Differentiate Alcohol-Associated Hepatitis From Acute Cholangitis in Patients With Systemic Inflammation and Elevated Liver Enzymes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2685035008

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2685035008

Other Identifiers

ISSN

0025-6196

E-ISSN

1942-5546

DOI

10.1016/j.mayocp.2022.01.028

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