Open AccessA Methodological Approach to Validate Pneumonia Encounters from Radiology Reports Using Natural Language Processing
Author(s) -
Aloksagar Panny,
Harshad Hegde,
Ingrid Glurich,
Frank A. Scannapieco,
Jayanth Vedre,
Jeffrey J. VanWormer,
Jeffrey C. Miecznikowski,
Amit Acharya
Publication year - 2022
Publication title -
methods of information in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.622
H-Index - 62
eISSN - 2511-705X
pISSN - 0026-1270
DOI - 10.1055/a-1817-7008
Subject(s) - pneumonia , medicine , natural language processing , gold standard (test) , medical diagnosis , artificial intelligence , natural history , intensive care medicine , radiology , computer science
Pneumonia is caused by microbes that establish an infectious process in the lungs. The gold standard for pneumonia diagnosis is radiologist-documented pneumonia-related features in radiology notes that are captured in electronic health records in an unstructured format.