Defining a Patient Population With Cirrhosis: An Automated Algorithm With Natural Language Processing.

Journal: Journal of clinical gastroenterology

Published Date: Jan 1, 2016

Abstract

OBJECTIVES: The objective of this study was to use natural language processing (NLP) as a supplement to International Classification of Diseases, Ninth Revision (ICD-9) and laboratory values in an automated algorithm to better define and risk-stratify patients with cirrhosis.

Authors

Edward K Chang

Divisions of *Digestive Diseases †General Internal Medicine, David Geffen School of Medicine at UCLA ‡UCLA Office of Health Informatics & Analytics, UCLA Health, Los Angeles, CA.
Christine Y Yu
Robin Clarke
Andrew Hackbarth
Timothy Sanders
Eric Esrailian
Daniel W Hommes
Bruce A Runyon

Keywords

Algorithms California Cohort Studies Humans International Classification of Diseases Liver Cirrhosis Natural Language Processing Retrospective Studies Risk Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (27348317)

Defining a Patient Population With Cirrhosis: An Automated Algorithm With Natural Language Processing.

Abstract

Authors

Keywords

External Resources

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