A systematic review on natural language processing systems for eligibility prescreening in clinical research
Author(s) -
Betina Idnay,
Caitlin Dreisbach,
Chunhua Weng,
Rebecca Schnall
Publication year - 2021
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocab228
Subject(s) - computer science , natural language processing , process (computing) , artificial intelligence , programming language
We conducted a systematic review to assess the effect of natural language processing (NLP) systems in improving the accuracy and efficiency of eligibility prescreening during the clinical research recruitment process.
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