Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports

Purpose To compare different methods for generating features from radiology reports and to develop a method to automatically identify findings in these reports. Materials and Methods In this study, 96 303 head computed tomography (CT) reports were obtained. The linguistic complexity of these reports...

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Veröffentlicht in:	Radiology 2018-05, Vol.287 (2), p.171093-580
Hauptverfasser:	Zech, John, Pain, Margaret, Titano, Joseph, Badgeley, Marcus, Schefflein, Javin, Su, Andres, Costa, Anthony, Bederson, Joshua, Lehar, Joseph, Oermann, Eric Karl
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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