A systematic review on natural language processing systems for eligibility prescreening in clinical research

Idnay, B., Dreisbach, C., Weng, C., & Schnall, R. (2021). A systematic review on natural language processing systems for eligibility prescreening in clinical research. Journal of the American Medical Informatics Association, 29(1), 197–206. https://doi.org/10.1093/jamia/ocab228
Authors:
Betina Idnay
Caitlin Dreisbach
Chunhua Weng
Rebecca Schnall
Affiliated Authors:
Betina Idnay
Caitlin Dreisbach
Chunhua Weng
Rebecca Schnall
Columbia Affiliation:
Subjects:
Eligibility Determination (MeSH)
Natural Language Processing (MeSH)
Author Keywords:
clinical research
clinical trial matching
cohort identification
eligibility prescreening
natural language processing
elink
Publication Type:
Article
Unique ID:
10.1093/jamia/ocab228
PMID:
34725689
DOI:
10.1093/jamia/ocab228
Journal:
Journal of the American Medical Informatics Association
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: