Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients

Keloth, V. K., Zhou, S., Lindemann, L., Zheng, L., Elhanan, G., Einstein, A. J., Geller, J., & Perl, Y. (2023). Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients. BMC Medical Informatics and Decision Making, 23(S1). https://doi.org/10.1186/s12911-023-02136-0
Authors:
Vipina K. Keloth
Shuxin Zhou
Luke Lindemann
Ling Zheng
Gai Elhanan
Andrew J. Einstein
James Geller
Yehoshua Perl
Affiliated Authors:
Andrew J. Einstein
Columbia Affiliation:
Subjects:
Electronic Health Records (MeSH)
COVID-19 (MeSH)
Biomedical Ontologies and Text Mining (OpenAlex Topic)
Natural Language Processing (OpenAlex Topic)
Deep Learning Applications in Healthcare (OpenAlex Topic)
Author Keywords:
covid-19 ontologies
concept mining
ehr annotation
interface terminology
elink
Publication Type:
Article
Unique ID:
10.1186/s12911-023-02136-0
PMID:
36829139
DOI:
10.1186/s12911-023-02136-0
Journal:
BMC Medical Informatics and Decision Making
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
View OpenAlex Record
View PubMed Record

Record Created: