A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI)

Paul M Heider; Ronak M Pipaliya; Stéphane M Meystre

doi:10.3233/SHTI220268

A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI)

Stud Health Technol Inform. 2022 Jun 6:290:1062-1063. doi: 10.3233/SHTI220268.

Authors

Paul M Heider¹, Ronak M Pipaliya², Stéphane M Meystre¹

Affiliations

¹ Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA.
² College of Medicine, Medical University of South Carolina, Charleston, SC, USA.

PMID: 35673206
DOI: 10.3233/SHTI220268

Abstract

A new natural language processing (NLP) application for COVID-19 related information extraction from clinical text notes is being developed as part of our pandemic response efforts. This NLP application called DECOVRI (Data Extraction for COVID-19 Related Information) will be released as a free and open source tool to convert unstructured notes into structured data within an OMOP CDM-based ecosystem. The DECOVRI prototype is being continuously improved and will be released early (beta) and in a full version.

Keywords: COVID-19; Machine Learning; Natural Language Processing.

MeSH terms

COVID-19*
Ecosystem
Electronic Health Records
Humans
Information Storage and Retrieval
Natural Language Processing*
Pandemics