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Biomedical and health information processing and analysis

1 School of Computer Science, South China Normal University, Guangzhou, China
2 College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
3 School of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China

Special Issues: Biomedical and Health Information Processing and Analysis

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1. Q. Wan, J. Liu, L. N. Wei, B. Ji, A self-attention based neural architecture for Chinese medical named entity recognition, Math. Biosci. Eng., 17 (2020), 3498-3511.

2. C. Che, C. G. Zhou, H. Y. Zhao, B. Jin, Z. Gao, Fast and effective biomedical named entity recognition using temporal convolutional network with conditional random field, Math. Biosci. Eng., 17 (2020), 3553-3566.

3. Z. C. Zhang, M. Y. Zhang, T. Zhou, Y. L. Qiu, Pre-trained language model augmented adversarial training network for Chinese clinical event detection, Math. Biosci. Eng., 17 (2020), 2825-2841.

4. Y. L. Cheng, M. N. Ma, L. J. Zhang, C. J. Jin, L. Ma, Y. Zhou, Retinal blood vessel segmentation based on Densely Connected U-Net, Math. Biosci. Eng., 17 (2020), 3088-3108.

5. J. Q. Liu, X. Lai, J. Y. Wang, Paul B. S. Lai, X. P. Zhang, X. Y. Zhu, A fast online monitoring approach for surgical risks, Math. Biosci. Eng., 17 (2020), 3130-3146.

6. C. K. Zhang, A. Yin, W. Zuo, Y. Y. Chen, Privacy preserving anomaly detection based on local density estimation, Math. Biosci. Eng., 17 (2020), 3478-3497.

7. L. Hou, M. Wu, H. Y. Kang, S. Zheng, L. Shen, Q. Qian, et al, PMO: A knowledge representation model towards precision medicine, Math. Biosci. Eng., 17 (2020), 4098-4114.    

© 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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