Yanqing Ji, Ph.D.
Affiliations: | 2007 | Computer Engineering | Wayne State University, Detroit, MI, United States |
Area:
Biomedical Engineering, Computer Science, PharmacyGoogle:
"Yanqing Ji"Parents
Sign in to add mentor| Hao Ying | grad student | 2007 | Wayne State | |
| (A collaborative multi-agent system approach to postmarketing surveillance of unknown adverse drug reactions.) | ||||
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Publications
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| Tian Y, Scholer J, Ji Y, et al. (2020) Utilizing graphics processing unit to accelerate drug-symptom association mining Computers & Electrical Engineering. 86: 106704 |
| Ji Y, Ying H, Tran J, et al. (2016) Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search. Bmc Bioinformatics. 17: 264 |
| Ji Y, Ying H, Tran J, et al. (2016) A functional temporal association mining approach for screening potential drug-drug interactions from electronic patient databases. Informatics For Health & Social Care. 1-18 |
| Ji Y, Ying H, Tran J, et al. (2015) Integrating association mining into relevance feedback for biomedical literature search Proceedings - 2015 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2015. 531-536 |
| Ji Y, Tian Y, Shen F, et al. (2015) Leveraging MapReduce to efficiently extract associations between biomedical concepts from large text data Microprocessors and Microsystems |
| Ji Y, Ying H, Tran J, et al. (2014) A temporal interestingness measure for drug interaction signal detection in post-marketing surveillance. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 2722-5 |
| Ji Y, Shen F, Lau S, et al. (2014) A Multi-Agent System for Reporting Suspected Adverse Drug Reactions Online Journal of Public Health Informatics. 6 |
| Ji Y, Shen F, Tran J. (2014) A multi-relational association mining algorithm for screening suspected adverse drug reactions Itng 2014 - Proceedings of the 11th International Conference On Information Technology: New Generations. 407-412 |
| Ji Y, Ying H, Tran J, et al. (2013) A method for mining infrequent causal associations and its application in finding adverse drug reaction signal pairs Ieee Transactions On Knowledge and Data Engineering. 25: 721-733 |
| Mansour A, Ying H, Dews P, et al. (2012) Identifying adverse drug reaction signal pairs by a multi-agent intelligent system with fuzzy decision model 2012 Annual Meeting of the North American Fuzzy Information Processing Society, Nafips 2012 |