A Methodological Approach to Validate Pneumonia Encounters from Radiology Reports Using Natural Language Processing | Zendy

Aloksagar Panny | Zendy; Harshad Hegde | Zendy; Ingrid Glurich | Zendy; Frank A. Scannapieco | Zendy; Jayanth Vedre | Zendy; Jeffrey J. VanWormer | Zendy; Jeffrey C. Miecznikowski | Zendy; Amit Acharya | Zendy

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A 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.

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