Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings

Computer-assisted reporting (CAR) tools were suggested to improve radiology report quality by context-sensitively recommending key imaging biomarkers. However, studies evaluating machine learning (ML) algorithms on cross-lingual ontological (RadLex) mappings for developing embedded CAR algorithms ar...

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Veröffentlicht in:	Scientific reports 2021-03, Vol.11 (1), p.5529-5529, Article 5529
Hauptverfasser:	Maros, Máté E., Cho, Chang Gyu, Junge, Andreas G., Kämpgen, Benedikt, Saase, Victor, Siegel, Fabian, Trinkmann, Frederik, Ganslandt, Thomas, Groden, Christoph, Wenz, Holger
Format:	Artikel
Sprache:	eng
Schlagworte:	631/114 631/114/1305 631/114/2164 631/114/2397 631/114/2415 692/308/53/2421 692/308/53/2422 692/308/53/2423 Algorithms Automation Calibration Comparative analysis Computed tomography Humanities and Social Sciences Learning algorithms Machine learning multidisciplinary Radiology Science Science (multidisciplinary) Support vector machines
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