Clinical concept-based radiology reports classification pipeline for lung carcinoma

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SUMMARY

    To expert knowledge, self-learning or data-driven approaches have been used in machine_learning for information extraction from text. Deep learning (DL) is another subdomain of machine_learning (ML) that uses neural_networks for extracting information. The authors have compared a hybrid method using expert input and compared it with machine_learning methods. The authors used two different deep learning architectures based on bidirectional long short-term memory neural_networks (Bi-LSTM): one with 5 layers (Bi-LSTM_simple) (Appendix 3) adapted from the Keras library and another with 13 layers including dropout layers (Bi-LSTM_dropout) (Appendix 4). The . . .

     

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