Year |
Citation |
Score |
2020 |
Tian Y, Scholer J, Ji Y, Rogers U, Shen F. Utilizing graphics processing unit to accelerate drug-symptom association mining Computers & Electrical Engineering. 86: 106704. DOI: 10.1016/J.Compeleceng.2020.106704 |
0.483 |
|
2016 |
Ji Y, Ying H, Tran J, Dews P, Massanari RM. Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search. Bmc Bioinformatics. 17: 264. PMID 27453982 DOI: 10.1186/S12859-016-1129-Z |
0.467 |
|
2016 |
Ji Y, Ying H, Tran J, Dews P, Lau SY, Massanari RM. A functional temporal association mining approach for screening potential drug-drug interactions from electronic patient databases. Informatics For Health & Social Care. 1-18. PMID 26822186 DOI: 10.3109/17538157.2015.1064427 |
0.632 |
|
2015 |
Ji Y, Ying H, Tran J, Dews P, Massanari RM. Integrating association mining into relevance feedback for biomedical literature search Proceedings - 2015 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2015. 531-536. DOI: 10.1109/BIBM.2015.7359739 |
0.418 |
|
2015 |
Ji Y, Tian Y, Shen F, Tran J. Leveraging MapReduce to efficiently extract associations between biomedical concepts from large text data Microprocessors and Microsystems. DOI: 10.1016/J.Micpro.2016.03.003 |
0.38 |
|
2014 |
Ji Y, Ying H, Tran J, Dews P, Mansour A, Massanari RM. 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. PMID 25570553 DOI: 10.1109/EMBC.2014.6944185 |
0.755 |
|
2014 |
Ji Y, Shen F, Lau S, Tran J. A Multi-Agent System for Reporting Suspected Adverse Drug Reactions Online Journal of Public Health Informatics. 6. DOI: 10.5210/Ojphi.V6I3.5579 |
0.558 |
|
2014 |
Ji Y, Shen F, Tran J. 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. DOI: 10.1109/ITNG.2014.96 |
0.398 |
|
2013 |
Ji Y, Ying H, Tran J, Dews P, Mansour A, Michael Massanari R. 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. DOI: 10.1109/Tkde.2012.28 |
0.77 |
|
2012 |
Mansour A, Ying H, Dews P, Ji Y, Massanari RM. 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. DOI: 10.1109/NAFIPS.2012.6290989 |
0.604 |
|
2011 |
Ji Y, Ying H, Dews P, Mansour A, Tran J, Miller RE, Massanari RM. A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance. Ieee Transactions On Information Technology in Biomedicine : a Publication of the Ieee Engineering in Medicine and Biology Society. 15: 428-37. PMID 21435986 DOI: 10.1109/TITB.2011.2131669 |
0.766 |
|
2011 |
Mansour A, Ying H, Dews P, Ji Y, Yen J, Miller RE, Massanari RM. Finding similar patients in a multi-agent environment Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2011.5752003 |
0.676 |
|
2011 |
Ji Y, Ying H, Dews P, Tran J, Mansour A, Miller RE, Massanari RM. An exclusive causal-leverage measure for detecting adverse drug reactions from electronic medical records Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2011.5751957 |
0.74 |
|
2011 |
Ji Y, Dews P, Ying H, Mansour A, Tran J, Massanari RM. Mining infrequent causal associations in electronic health databases Proceedings - Ieee International Conference On Data Mining, Icdm. 421-428. DOI: 10.1109/ICDMW.2011.120 |
0.677 |
|
2010 |
Ji Y, Ying H, Farber MS, Yen J, Dews P, Miller RE, Massanari RM. A distributed, collaborative intelligent agent system approach for proactive postmarketing drug safety surveillance. Ieee Transactions On Information Technology in Biomedicine : a Publication of the Ieee Engineering in Medicine and Biology Society. 14: 826-37. PMID 20007038 DOI: 10.1109/TITB.2009.2037007 |
0.634 |
|
2010 |
Mansour A, Ying H, Dews P, Ji Y, Farber MS, Yen J, Miller RE, Massanari RM. A multi-agent system for detecting adverse drug reactions Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2010.5548293 |
0.746 |
|
2010 |
Ji Y, Ying H, Dews P, Farber MS, Mansour A, Tran J, Miller RE, Massanari RM. A fuzzy recognition-primed decision model-based causal association mining algorithm for detecting adverse drug reactions in postmarketing surveillance 2010 Ieee World Congress On Computational Intelligence, Wcci 2010. DOI: 10.1109/FUZZY.2010.5584288 |
0.748 |
|
2008 |
Ji Y, Ying H, Farber MS, Yen J, Dews P, Miller RE, Massanari RM. Identifying unknown adverse drug reaction signal pairs in postmarketing surveillance using an active Multi-agent system approach Proceedings - 8th Ieee International Conference On Computer and Information Technology Workshops, Cit Workshops 2008. 444-449. DOI: 10.1109/CIT.2008.Workshops.32 |
0.582 |
|
2007 |
Ji Y, Ying H, Farber MS, Yen J, Dews P, Miller RE, Massanari RM. Distributed, collaborative intelligent agents for proactive post-marketing drug safety surveillance Annual Conference of the North American Fuzzy Information Processing Society - Nafips. 158-163. DOI: 10.1109/NAFIPS.2007.383829 |
0.506 |
|
2007 |
Ji Y, Massanari RM, Ager J, Yen J, Miller RE, Ying H. A fuzzy logic-based computational recognition-primed decision model Information Sciences. 177: 4338-4353. DOI: 10.1016/J.Ins.2007.02.026 |
0.567 |
|
2007 |
Ji Y, Ying H, Yen J, Zhu S, Barth-Jones DC, Miller RE, Massanari RM. A distributed adverse drug reaction detection system using intelligent agents with a fuzzy recognition-primed decision model: Research Articles Journal of Intelligent Systems. 22: 827-845. DOI: 10.1002/Int.V22:8 |
0.627 |
|
2007 |
Ji Y, Ying H, Yen J, Zhu S, Barth-Jones DC, Miller RE, Massanari RM. A distributed adverse drug reaction detection system using intelligent agents with a fuzzy recognition-primed decision model International Journal of Intelligent Systems. 22: 827-845. DOI: 10.1002/Int.20230 |
0.628 |
|
2005 |
Ji Y, Ying H, Barth-Jones D, Yen J, Zhu S, Miller R, Michael Massanari R. A team agent approach to postmarketing surveillance of adverse drug reactions. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 7: 6969-72. PMID 17281878 DOI: 10.1109/IEMBS.2005.1616109 |
0.589 |
|
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