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]
@article{BressemAGTHMSVN21, title = {Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports}, author = {Keno K. Bressem and Lisa C. Adams and Robert A. Gaudin and Daniel Tröltzsch and Bernd Hamm and Marcus R. Makowski and Chan-Yong Schüle and Janis Lucas Vahldiek and Stefan Markus Niehues}, year = {2021}, doi = {10.1093/bioinformatics/btaa668}, url = {https://doi.org/10.1093/bioinformatics/btaa668}, researchr = {https://researchr.org/publication/BressemAGTHMSVN21}, cites = {0}, citedby = {0}, journal = {Bioinformatics}, volume = {36}, number = {21}, pages = {5255-5261}, }