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2020 – today
- 2024
[j8]Ruijuan Chen, Ming He, Silin Liu, Shumian Xiao, Cong Wang, Jiameng Xu, Yu Guo, Huiquan Wang
, Jun Zhang, Guang Zhang:
Identification of blood loss based on multiple physiological parameters. Biomed. Signal Process. Control. 97: 106698 (2024)- [j7]Guang Zhang, Qingyan Xie, Chengyi Wang, Jiameng Xu, Guanjun Liu, Chen Su:
Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases. Medical Biol. Eng. Comput. 62(11): 3445-3458 (2024) - 2023
- [j6]Huiquan Wang, Chengyi Wang, JiaMeng Xu, Jing Yuan, Guanjun Liu, Guang Zhang:
Invasive mechanical ventilation probability estimation using machine learning methods based on non-invasive parameters. Biomed. Signal Process. Control. 79(Part): 104193 (2023) - 2022
- [j5]Pingan Wang, JiaMeng Xu, Chengyi Wang, Guang Zhang, Huiquan Wang:
Method of non-invasive parameters for predicting the probability of early in-hospital death of patients in intensive care unit. Biomed. Signal Process. Control. 73: 103405 (2022) - [j4]Guang Zhang, JiaMeng Xu, Huiquan Wang, Ming Yu, Jing Yuan:
An interpretable deep learning algorithm for dynamic early warning of posttraumatic hemorrhagic shock based on noninvasive parameter. Biomed. Signal Process. Control. 77: 103779 (2022) - [j3]Guanjun Liu, JiaMeng Xu, Chengyi Wang, Ming Yu, Jing Yuan, Feng Tian, Guang Zhang:
A machine learning method for predicting the probability of MODS using only non-invasive parameters. Comput. Methods Programs Biomed. 227: 107236 (2022) - 2021
- [j2]Huiquan Wang, Zongge Wang, Pingan Wang, Ming Yu, JiaMeng Xu, Guang Zhang:
A novel approach to estimate blood pressure of blood loss continuously based on stacked auto-encoder neural networks. Biomed. Signal Process. Control. 69: 102853 (2021) - 2020
- [j1]Guang Zhang, JiaMeng Xu, Ming Yu, Jing Yuan, Feng Chen:
A machine learning approach for mortality prediction only using non-invasive parameters. Medical Biol. Eng. Comput. 58(10): 2195-2238 (2020)
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