中国科学院重庆绿色智能技术研究院机构知识库

浏览/检索结果: 共9条，第1-9条

帮助

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次降序发表日期升序发表日期降序提交时间升序提交时间降序
	Value function assessment to different RL algorithms for heparin treatment policy of patients with sepsis in ICU 期刊论文 ARTIFICIAL INTELLIGENCE IN MEDICINE, 2024, 卷号: 147, 页码: 14 作者:  Liu, Jiang;  Xie, Yihao;  Shu, Xin;  Chen, Yuwen;  Sun, Yizhu;  Zhong, Kunhua;  Liang, Hao;  Li, Yujie;  Yang, Chunyong;  Han, Yan;  Zou, Yuwei;  Zhuyi, Ziting;  Huang, Jiahao;  Li, Junhong;  Hu, Xiaoyan;  Yi, Bin 收藏  |  浏览/下载：48/0  |  提交时间：2024/02/23 Heparin  Sepsis  RL  Q-learning  Monte Carlo methods  n-TD
	A self-supervised causal feature reinforcement learning method for non-invasive hemoglobin prediction 期刊论文 IET IMAGE PROCESSING, 2023, 页码: 12 作者:  Xu, Linquan;  Chen, Yuwen;  Lu, Songmei;  Zhong, Kunhua;  Li, Yujie;  Yi, Bin 收藏  |  浏览/下载：9/0  |  提交时间：2023/12/25 biomedical imaging  computer vision  convolutional neural nets  neural nets
	A LightGBM and XGBoost Learning Method for Postoperative Critical Illness Key Indicators Analysis 期刊论文 KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2023, 卷号: 17, 期号: 8, 页码: 2016-2029 作者:  Han, Lei;  Zhu, Yiziting;  Chen, Yuwen;  Huang, Guoqiong;  Yi, Bin 收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25 Critical illness  Light gradient boosting machine (LightGBM)  Indicator analysis  Shapley additive explanation (SHAP) value  Machine learning
	A new, feasible, and convenient method based on semantic segmentation and deep learning for hemoglobin monitoring 期刊论文 FRONTIERS IN MEDICINE, 2023, 卷号: 10, 页码: 9 作者:  Hu, Xiao-Yan;  Li, Yu-Jie;  Shu, Xin;  Song, Ai-Lin;  Liang, Hao;  Sun, Yi-Zhu;  Wu, Xian-Feng;  Li, Yong-Shuai;  Tan, Li-Fang;  Yang, Zhi-Yong;  Yang, Chun-Yong;  Xu, Lin-Quan;  Chen, Yu-Wen;  Yi, Bin 收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25 continuous hemoglobin monitoring  deep learning  semantic segmentation  mask R-CNN  MobileNetV3
	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：46/0  |  提交时间：2022/12/26 Bayesian network  enhanced recovery after surgery  decision-making  gynecological tumor  machine 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：51/0  |  提交时间：2022/08/22 In-hospital mortality risk  ICU  Temporal Convolution Network  Attention Mechanism  Time series  Artificial Intelligence
	A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning 期刊论文 JOURNAL OF CLINICAL AND TRANSLATIONAL HEPATOLOGY, 2021, 页码: 8 作者:  Li, Yu-Jie;  Tang, Xi;  Li, Peng;  Yang, Zhi-Yong;  Zhi, Hong-Yu;  Li, Xiao-Jun;  Chen, Yang;  Deng, Peng;  Qin, Xiao-Lin;  Gu, Jian-Teng;  Ning, Jiao-Lin;  Lu, Kai-Zhi;  Zhang, Ju;  Xia, Zheng-Yuan;  Chen, Yu-Wen;  Yi, Bin 收藏  |  浏览/下载：91/0  |  提交时间：2021/11/26 Hepatopulmonary syndrome  Intrapulmonary vascular dilation  Cirrhosis  Screening  Machine learning
	A better method for the dynamic, precise estimating of blood/haemoglobin loss based on deep learning of artificial intelligence 期刊论文 ANNALS OF TRANSLATIONAL MEDICINE, 2020, 卷号: 8, 期号: 19, 页码: 14 作者:  Li, Yu-Jie;  Zhang, Li-Ge;  Zhi, Hong-Yu;  Zhong, Kun-Hua;  He, Wen-Quan;  Chen, Yang;  Yang, Zhi-Yong;  Chen, Lin;  Bai, Xue-Hong;  Qin, Xiao-Lin;  Li, Dan-Feng;  Wang, Dan-Dan;  Gu, Jian-Teng;  Ning, Jiao-Lin;  Lu, Kai-Zhi;  Zhang, Ju;  Xia, Zheng-Yuan;  Chen, Yu-Wen;  Yi, Bin 收藏  |  浏览/下载：111/0  |  提交时间：2021/02/24 Intra-operative blood loss  intra-operative haemoglobin loss  densely connected convolutional networks  feature extraction technology
	A Novel Method of Heart Failure Prediction Based on DPCNN-XGBOOST Model 期刊论文 CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 卷号: 65, 期号: 1, 页码: 495-510 作者:  Chen, Yuwen;  Qin, Xiaolin;  Zhang, Lige;  Yi, Bin 收藏  |  浏览/下载：87/0  |  提交时间：2020/08/24 Deep pyramid convolutional neural networks  extreme gradient boosting  heart failure prediction