Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model

Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model

In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in predicting the length of stay (LOS) in neurosurgery. We aimed to assess the performance the Russian GPT-3 (ruGPT-3) language model in LOS prediction using narrative medical records in neurosurgery co...

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Bibliographic Details
Main Authors: Danilov, G. (Author), Ishankulov, T. (Author), Kotik, K. (Author), Lukshin, V. (Author), Potapov, A. (Author), Shevchenko, E. (Author), Shifrin, M. (Author), Strunina, Y. (Author), Tsukanova, T. (Author), Usachev, D. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2022
Subjects:
adult
article
controlled study
deep learning
expectation
human
length of stay
Length of stay
medical record
narrative
natural language processing
neural networks
neurosurgery
prediction
recurrent neural network
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