Dr. Degui Zhi is looking for students to help his team in developing Deep Learning methods for uncovering the logic of medical practice and to help improve efficiency of clinical care.
The candidate must be in a Ph.D. program (Master’s students with good experience are encouraged to inquire). The student must be enthusiastic about learning and developing new skills, and have experience in some or most of these areas:
Please contact Degui.Zhi@uth.tm.edu to set up a WebEx interview. Recruitment will be conducted on a rolling basis until all positions are filled.
Recent publications by group:
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set
L Rasmy, Y Wu, N Wang, X Geng, WJ Zheng, F Wang, H Wu, H Xu, D Zhi
Journal of biomedical informatics 84, 11-16
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi
arXiv preprint arXiv:2005.12833
Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies
Laila Rasmy, Firat Tiryaki, Yujia Zhou, Yang Xiang, Cui Tao Hua Xu, Degui Zhi
Journal of the American Medical Informatics Association, In print.