Highly accurate classification of chest radiographic...

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Bioinformatics 2020 / 07

Highly accurate classification of chest radiographic reports using a deep learning natural language model pretrained on 3.8 million text reports

Bressem, Keno K, Adams, Lisa C, Gaudin, Robert A, Tröltzsch, Daniel, Hamm, Bernd, Makowski, Marcus R, Schüle, Chan-Yong, Vahldiek, Janis L, Niehues, Stefan M, Wren, Jonathan
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Journal:
Bioinformatics
DOI:
10.1093/bioinformatics/btaa668
Date:
July, 2020
File:
PDF, 570 KB
2020
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