Use of Natural Language Processing to Objectively Identify Hepatic Encephalopathy in Multiple Cohorts
Five signs, symptoms, and treatment decisions with simple phrases extracted from inpatient charts using NLP define HE across 3 cohorts. This objectivity could aid future policy on liver transplant priority and HE-event adjudication in clinical trials.
Authors
- Puneet Puri (ORCID: https://orcid.org/0009-0005-9639-4618)
- Abhishek Shenoy (ORCID: https://orcid.org/0000-0002-1687-5202)
- Scott Silvey (ORCID: https://orcid.org/0000-0003-4540-4239)
- Brian Davis (ORCID: https://orcid.org/0000-0002-7567-6748)
- Jasmohan Singh Bajaj (ORCID: https://orcid.org/0000-0003-4928-3681)
- Michael Fuchs (ORCID: https://orcid.org/0000-0002-5557-682X)
- Nilang Patel (ORCID: https://orcid.org/0000-0003-0556-5820)
- Richard K. Sterling (ORCID: https://orcid.org/0000-0002-8637-2475)
- Brian Bush (ORCID: https://orcid.org/0000-0001-6504-3755)
- Anas Aljabi (ORCID: https://orcid.org/0009-0000-8927-2050)
Institutions
- Virginia Commonwealth University (US)
- Virginia Commonwealth University Medical Center (US)
Publication Details
- Journal
- The American Journal of Gastroenterology
- Published
- 2025-11-06
- DOI
- https://doi.org/10.14309/ajg.0000000000003824
- Citations
- 1
- Primary Topic
- Liver Disease and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 1.32