An AI Approach for Identifying Patients With Cirrhosis.

Journal: Journal of clinical gastroenterology

Published Date: Jan 1, 2023

Abstract

GOAL: The goal of this study was to evaluate an artificial intelligence approach, namely deep learning, on clinical text in electronic health records (EHRs) to identify patients with cirrhosis.

Authors

Jihad S Obeid

Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC 29425, United States.
Ali Khalifa

Division of Gastroenterology and Hepatology.
Brandon Xavier

Division of Gastroenterology and Hepatology.
Halim Bou-Daher

Division of Gastroenterology and Hepatology.
Don C Rockey

Division of Gastroenterology and Hepatology.

Keywords

Algorithms Artificial Intelligence Bayes Theorem Humans Liver Cirrhosis Machine Learning Neural Networks, Computer

External Resources

View on PubMed Access via DOI PubMed (34238846)

An AI Approach for Identifying Patients With Cirrhosis.

Abstract

Authors

Keywords

External Resources

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