Keyuan Jiang, Ph.D.
Department Chair, Computer Information Technology & Graphics
Professor, Computer Information Technology
Keyuan Jiang is a professor of computer information technology and Chair of Department of Computer Information Technology and Graphics.
Keyuan Jiang’s research expands from medical/health/clinical informatics, artificial intelligence in medicine, to healthcare information technology. His research was funded by the National Institutes of Health. He has published in high profile journals and conferences in the areas of medical informatics, biomedical engineering, artificial intelligence and computational linguistics.
Jiang, K., Feng, S., Calix, R. A., & Bernard, G. R. (2019). Assessment of word embedding techniques for identification of personal experience tweets pertaining to medication uses. In International Workshop on Health Intelligence (W3PHIAI 2019), a workshop of the 31st AAAI Conference on Artificial Intelligence (AAAI-19) (pp. 45-55).
Jiang, K., Feng, S., Li, J., Song, Q., Calix, R.A., & Gupta, M. (2018). Identifying personal health experience tweets with word embedding and LSTM neural network. BMC Bioinformatics 2018, 19(Suppl 8):210.
Jiang, K., Chen, T., Huang, L., Calix, R.A., & Bernard, G.R. (2018). A data-driven method of discovering misspellings of medication names on Twitter. Medical Informatics Europe (MIE 2018), April, 2018, pp.136 – 140.