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

Heider, Paul M; Pipaliya, Ronak M; Meystre, Stéphane M

Heider, Paul M; Pipaliya, Ronak M; Meystre, Stéphane M.

Heider PM; Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA.
Pipaliya RM; College of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Meystre SM; Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA.

Stud Health Technol Inform ; 290: 1062-1063, 2022 Jun 06.

Article in English | MEDLINE | ID: covidwho-1933594

ABSTRACT

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.

Subject(s)

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

Keywords

COVID-19; Machine Learning; Natural Language Processing

Fulltext

XML

PubMed Links

Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Natural Language Processing / COVID-19 Type of study: Prognostic study / Reviews Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220268

Similar

MEDLINE

LILACS

LIS

Fulltext

XML

PubMed Links

Search on Google