Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports - researchr publication bibliographies

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Keno K. Bressem, Lisa C. Adams, Robert A. Gaudin, Daniel Tröltzsch, Bernd Hamm, Marcus R. Makowski, Chan-Yong Schüle, Janis Lucas Vahldiek, Stefan Markus Niehues. Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports. Bioinformatics, 36(21):5255-5261, 2021. [doi]

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