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Fei Wang
Assistant Professor
Biography
My research is mainly data mining algorithms development and their applications in various health informatics problems. Some highlights:
- Patient Similarity Learning.
- NSF EAGER Award from SCH on developing algorithms
- NMRC Subaward on patient similarity and concussion
- AMIA TBI 2014 paper on personalized treatment recommendation nominated for Marco Romani Award
- SDM 2011 paper on integrating multiple patient similarities selected as "Best of SDM"
- Deep Learning in Health
- Winner of PPMI Data Challenge on Subtyping Parkinson's disease 2016
- ICDM 2016 paper on systematic study of the tradeoff between accuracy and runtime of deep learning models won Best Paper Runner-Up