Yi-Ju Tseng is Professor at National Yang Ming Chiao Tung University (NYCU) Digital Health Lab with extensive experience in claims data and electronic medical records analysis and data mining. Before joining NYCU as an associate professor in 2022, Tseng was an associate & assistant professor at NCU and CGU, and a postdoctoral research fellow at CHIP Boston Children’s Hospital & Harvard Medical School.
Tseng and collaborators at CGMH have developed a clinically applicable system for rapidly predicting antibiotic susceptibility using MALDI-TOF data and AI. She has developed several models for diagnosis of infection, clinical outcome prediction, and risk assessment. Tseng also designed and developed a healthcare-associated infection surveillance system for NTUH. These systems have become indispensable tools for infection control programs at NTUH. Her group is developing a series of R packages for accelerating clinical data analysis.
Her work focuses on improving infection surveillance by using informatics techniques and applying data mining technology to clinical research.
We've developed some R packages for clinical data analysis:
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