中国科学院重庆绿色智能技术研究院机构知识库

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发表日期：2022

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	Optimization of anesthetic decision-making in ERAS using Bayesian network 期刊论文 FRONTIERS IN MEDICINE, 2022, 卷号: 9, 页码: 16 作者:  Chen, Yuwen;  Zhu, Yiziting;  Zhong, Kunhua;  Yang, Zhiyong;  Li, Yujie;  Shu, Xin;  Wang, Dandan;  Deng, Peng;  Bai, Xuehong;  Gu, Jianteng;  Lu, Kaizhi;  Zhang, Ju;  Zhao, Lei;  Zhu, Tao;  Wei, Ke;  Yi, Bin 收藏  |  浏览/下载：47/0  |  提交时间：2022/12/26 Bayesian network  enhanced recovery after surgery  decision-making  gynecological tumor  machine learning
	Convolutional-de-convolutional neural networks for recognition of surgical workflow 期刊论文 FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2022, 卷号: 16, 页码: 10 作者:  Chen, Yu-wen;  Zhang, Ju;  Wang, Peng;  Hu, Zheng-yu;  Zhong, Kun-hua 收藏  |  浏览/下载：44/0  |  提交时间：2022/12/26 neural networks  convolutional-de-convolutional  transfer learning  surgical workflow  deep learning
	Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network 期刊论文 BMC ANESTHESIOLOGY, 2022, 卷号: 22, 期号: 1, 页码: 11 作者:  Chen, Yu-wen;  Li, Yu-jie;  Deng, Peng;  Yang, Zhi-yong;  Zhong, Kun-hua;  Zhang, Li-ge;  Chen, Yang;  Zhi, Hong-yu;  Hu, Xiao-yan;  Gu, Jian-teng;  Ning, Jiao-lin;  Lu, Kai-zhi;  Zhang, Ju;  Xia, Zheng-yuan;  Qin, Xiao-lin;  Yi, Bin 收藏  |  浏览/下载：52/0  |  提交时间：2022/08/22 In-hospital mortality risk  ICU  Temporal Convolution Network  Attention Mechanism  Time series  Artificial Intelligence
	Interpretable instance disease prediction based on causal feature selection and effect analysis 期刊论文 BMC MEDICAL INFORMATICS AND DECISION MAKING, 2022, 卷号: 22, 期号: 1, 页码: 14 作者:  Chen, YuWen;  Zhang, Ju;  Qin, XiaoLin 收藏  |  浏览/下载：47/0  |  提交时间：2022/08/22 Causal effects  Interpretability  Feature selection  Disease prediction
	Bayesian Network Structure Learning Approach Based on Searching Local Structure of Strongly Connected Components 期刊论文 IEEE ACCESS, 2022, 卷号: 10, 页码: 67630-67638 作者:  Zhong, Kunhua;  Chen, Yuwen;  Zhang, Ju;  Qin, Xiaolin 收藏  |  浏览/下载：55/0  |  提交时间：2022/08/22 Bayes methods  Approximation algorithms  Search problems  Directed graphs  Heuristic algorithms  Periodic structures  Random variables  Bayesian network  structure learning  hill climbing search  strongly connected component