CSpace

Browse/Search Results:  1-10 of 10 Help

Selected(0)Clear Items/Page:    Sort:
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging 期刊论文
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2024, 卷号: 24, 期号: 1, 页码: 15
Authors:  Chen, Yuwen;  Hu, Xiaoyan;  Zhu, Yiziting;  Liu, Xiang;  Yi, Bin
Favorite  |  View/Download:19/0  |  Submit date:2024/08/16
Non-invasive prediction  Smartphone  Hemoglobin  Deep learning  Automatic  
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
Authors:  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
Favorite  |  View/Download:72/0  |  Submit date: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
Authors:  Xu, Linquan;  Chen, Yuwen;  Lu, Songmei;  Zhong, Kunhua;  Li, Yujie;  Yi, Bin
Favorite  |  View/Download:35/0  |  Submit date: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
Authors:  Han, Lei;  Zhu, Yiziting;  Chen, Yuwen;  Huang, Guoqiong;  Yi, Bin
Favorite  |  View/Download:33/0  |  Submit date: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
Authors:  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
Favorite  |  View/Download:31/0  |  Submit date: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
Authors:  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
Favorite  |  View/Download:62/0  |  Submit date: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
Authors:  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
Favorite  |  View/Download:64/0  |  Submit date: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
Authors:  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
Favorite  |  View/Download:101/0  |  Submit date: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
Authors:  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
Favorite  |  View/Download:124/0  |  Submit date: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
Authors:  Chen, Yuwen;  Qin, Xiaolin;  Zhang, Lige;  Yi, Bin
Favorite  |  View/Download:95/0  |  Submit date:2020/08/24
Deep pyramid convolutional neural networks  extreme gradient boosting  heart failure prediction