Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery

Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov. Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery. In Amnon Shabo Shvo, Inge Madsen, Hans-Ulrich Prokosch, Kristiina Häyrinen, Klaus-Hendrik Wolf, Fernando Martín-Sánchez, Matthias Löbe, Thomas M. Deserno, editors, ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference - 7-10 April 2019, Hanover, Germany. Volume 258 of Studies in Health Technology and Informatics, pages 125-129, IOS Press, 2019. [doi]

Authors

Gleb Danilov

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Konstantin Kotik

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Michael A. Shifrin

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Uliya Strunina

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Tatyana Pronkina

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Alexander Potapov

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