Litcius/Paper detail

Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information

Zachary Flamholz, Andrew Crane‐Droesch, Lyle Ungar, Gary E. Weissman

2021Journal of Biomedical Informatics17 citationsDOIOpen Access PDF

Topics & Concepts

Word (group theory)Computer scienceNatural language processingHealth informationArtificial intelligenceHuman–computer interactionHealth careLinguisticsPhilosophyEconomic growthEconomicsTopic ModelingBiomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education