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In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
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Department of Neurology, Jinshan Hospital, Fudan University, 201508 Shanghai, China.
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Department of Clinical Medicine and Surgery, University of Naples "Federico II", 80131 Naples, Italy.
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Institute of Translational Medicine, Shanghai University, 200444 Shanghai, China.
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View Article and Find Full Text PDFtiRNA-Gln-CTG is Involved in the Regulation of Trophoblast Cell Function in Pre-eclampsia and Serves as a Potent Biomarker.
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Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, 210000 Nanjing, Jiangsu, China.
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