Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders | Zendy

Wendy W. Chapman | Zendy; Gregory F. Cooper | Zendy; Paul Hanbury | Zendy; Brian E. Chapman | Zendy; Lee H. Harrison | Zendy; Michael M. Wagner | Zendy

Open Access

Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders

Author(s) -

Wendy W. Chapman,

Gregory F. Cooper,

Paul Hanbury,

Brian E. Chapman,

Lee H. Harrison,

Michael M. Wagner

Publication year - 2003

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 - 10.1197/jamia.m1330

Subject(s) - classifier (uml) , receiver operating characteristic , artificial intelligence , chest radiograph , computer science , medicine , pattern recognition (psychology) , natural language processing , radiology , radiography , machine learning

The aim of this study was to create a classifier for automatic detection of chest radiograph reports consistent with the mediastinal findings of inhalational anthrax.

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