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2020 – today
- 2024
[j5]Shengjun Liu, Longxiang Su, Huizhen Jiang, Zhenhao Wei, Bingqing Yang, Jiatong Xie, Anhui Guo, Huaiwu He, Weiguo Zhu, Yun Long
:
Full connected layer model with self-attention to hourly predict heparin dosage for perioperative cardiac surgery patients. Comput. Biol. Medicine 182: 109085 (2024)- 2023
- [j4]Mengying Wang, Cuixia Lee, Zhenhao Wei, Hong Ji, Yingyun Yang, Cheng Yang:
Clinical assistant decision-making model of tuberculosis based on electronic health records. BioData Min. 16(1) (2023) - 2022
- [j3]Mengying Wang, Zhenhao Wei, Mo Jia, Lianzhong Chen, Hong Ji:
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records. BMC Medical Informatics Decis. Mak. 22(1): 41 (2022) - 2020
- [j2]Dong Wen, Peng Li, Xiaoli Li, Zhenhao Wei, Yanhong Zhou, Huan Pei, Fengnian Li, Zhijie Bian, Lei Wang, Shimin Yin:
The feature extraction of resting-state EEG signal from amnestic mild cognitive impairment with type 2 diabetes mellitus based on feature-fusion multispectral image method. Neural Networks 124: 373-382 (2020)
2010 – 2019
- 2019
- [c1]Dong Wen, Zhenhao Wei, Yanhong Zhou, Zhijie Bian, Shimin Yin:
Classification of ERP Signals from Mild Cognitive Impairment Patients with Diabetes using Dual Input Encoder Convolutional Neural Network. CIVEMSA 2019: 1-4 - 2018
- [j1]Dong Wen, Zhenhao Wei, Yanhong Zhou, Guolin Li, Xu Zhang, Wei Han:
Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion. Frontiers Neuroinformatics 12: 23 (2018)
Coauthor Index
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