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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886482 | PMC |
| http://dx.doi.org/10.4300/JGME-05-04-45 | DOI Listing |
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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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Front Biosci (Landmark Ed)
January 2025
Department of Cardiology, Affiliated Hospital of Jiangnan University, 214122 Wuxi, Jiangsu, China.
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Front Biosci (Landmark Ed)
January 2025
Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, 401336 Chongqing, China.
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A novel strategy for the protective effect of ginsenoside Rg1 against ovarian reserve decline by the PINK1 pathway.
Pharm Biol
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The Affiliated Hospital, Changchun University of Chinese Medicine, Changchun, China.
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Human vs Machine: The Future of Decision-making in Plastic and Reconstructive Surgery.
Aesthet Surg J
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Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.
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