欢迎访问中国科学院重庆绿色智能技术研究院!

研究成果

  1)  Chen. YW., Xu, LQ., Yi, B. Early recognition of risk of critical adverse events based on deep neural decision gradient boosting. Front Public Health. 2023 Jan 26;10:1065707 

  2)Chen, Y., Zhong, K., Zhu, Y., Sun, Q. Two-stage hemoglobin prediction based on prior causality. Front Public Health. 2022 Nov 30;10:1079389. 

  3)Chen Y., Liu J. Polynomial dendritic neural networks[J]. Neural Computing and Applications, 2022. 

  4)Chen, YW., Li, YJ., Deng, P. et al. Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network. BMC Anesthesiol. 2022 Apr 23;22(1):119. 

  5)Zhong, K., Chen, Y., Zhang, J. and Qin, X. Bayesian Network Structure Learning Approach Based on Searching Local Structure of Strongly Connected Components. in IEEE Access, vol. 10, pp. 67630-67638, 2022. 

  6)  Yang, Y., Qin, X., Wen, H.,Li, F.,Lin, X (2023). Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction. Front. Comput. Neurosci. 17: 1172987. doi: 10.3389/fncom.2023.1172987. 

  7)Yang, Y., Li, F., Qin, X., Wen, H., Lin, X., Huang, D (2023). Feature separation and adversarial training for the patient-independent detection of epileptic seizures. Front Comput Neurosci. 17: 1195334. doi: 10.3389/fncom.2023.1195334. 

  8)  Yang, Y., Li, F., Luo, J., Qin, X., Huang, D (2023). Epileptic focus localization using transfer learning on multi-modal EEG. Front. Comput. Neurosci. 17:1294770. doi: 10.3389/fncom.2023.1294770. 

  9)  Lin, Xiaoguang; Zhang, Ju; Zhang, Da. Topic Detection and Evolution for Biomedical Literature with BRTH TreeBASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY,2020,126(SS)19 19. 

  10)  MingXuan Liu, JuZhang, XiaoGuang Lin. Design and implementation of medical process visualization CDSS oriented to NCCN guidelines. IACSIT.