no code implementations • 11 Feb 2023 • Ruiqing Ding, Fangjie Rong, Xiao Han, Leye Wang
In this paper, for a common disease in ICU patients, sepsis, we propose a novel cross-center collaborative learning framework guided by medical knowledge, SofaNet, to achieve early recognition of this disease.
no code implementations • 10 Dec 2022 • Ruiqing Ding, Xiao Han, Leye Wang
We propose KnowledgeDA, a unified domain language model development service to enhance the task-specific training procedure with domain knowledge graphs.
1 code implementation • 18 Jun 2021 • Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, YiXuan Wang, Yanlin Chen, Leye Wang, Man Huang
To address this issue, we propose a novel semi-supervised transfer learning framework based on optimal transport theory and self-paced ensemble for Sepsis early detection, called SPSSOT, which can efficiently transfer knowledge from the source hospital (with rich labeled data) to the target hospital (with scarce labeled data).
no code implementations • 19 Oct 2019 • Xiao Han, Ruiqing Ding, Leye Wang, Hailiang Huang
Credit investigation is critical for financial services.