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Paper Details

A machine learning approach for identifying anatomical locations of actionable findings in radiology reports.
AMIA Annu Symp Proc
16
2012
radiologists
Anatomy, Appendicitis, Artificial Intelligence, Humans, Natural Language Processing, Radiography, Radiology Information Systems, Unified Medical Language System
Author NameAffiliation
Kirk RobertsThe University of Texas at Dallas
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Datasets

Release 1.2