Yanqing Ji

发表

A fuzzy recognition-primed decision model-based causal association mining algorithm for detecting adverse drug reactions in postmarketing surveillance

Yanqing Ji, John Tran, Hao Ying, 2010, International Conference on Fuzzy Systems.

Identifying Unknown Adverse Drug Reaction Signal Pairs in Postmarketing Surveillance Using an Active Multi-agent System Approach

J. Yen, P. Dews, Yanqing Ji, 2008, 2008 IEEE 8th International Conference on Computer and Information Technology Workshops.

A Multi-Agent System for Reporting Suspected Adverse Drug Reactions

Fangyang Shen, Yanqing Ji, John Tran, 2014 .

An exclusive causal-leverage measure for detecting adverse drug reactions from electronic medical records

A. Mansour, P. Dews, Richard E. Miller, 2011, 2011 Annual Meeting of the North American Fuzzy Information Processing Society.

A Distributed, Collaborative Intelligent Agent System Approach for Proactive Postmarketing Drug Safety Surveillance

John Yen, Yanqing Ji, Hao Ying, 2010, IEEE Transactions on Information Technology in Biomedicine.

A distributed adverse drug reaction detection system using intelligent agents with a fuzzy recognition‐primed decision model

John Yen, Yanqing Ji, Hao Ying, 2007, Int. J. Intell. Syst..

A Method for Mining Infrequent Causal Associations and Its Application in Finding Adverse Drug Reaction Signal Pairs

Yanqing Ji, John Tran, Hao Ying, 2013, IEEE Transactions on Knowledge and Data Engineering.

A Potential Causal Association Mining Algorithm for Screening Adverse Drug Reactions in Postmarketing Surveillance

Yanqing Ji, John Tran, Hao Ying, 2011, IEEE Transactions on Information Technology in Biomedicine.

A fuzzy logic-based computational recognition-primed decision model

John Yen, Yanqing Ji, Hao Ying, 2007, Inf. Sci..

Distributed, Collaborative Intelligent Agents for Proactive Post-Marketing Drug Safety Surveillance

Yanqing Ji, Hao Ying, R.E. Miller, 2007, NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society.

A Team Agent Approach to Postmarketing Surveillance of Adverse Drug Reactions

Yanqing Ji, Hao Ying, D.C. Barth-Jones, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

A multi-agent system for detecting adverse drug reactions

John Yen, Yanqing Ji, Hao Ying, 2010, 2010 Annual Meeting of the North American Fuzzy Information Processing Society.

Modern Computational Techniques for the HMMER Sequence Analysis

Yanqing Ji, Xiandong Meng, Xiandong Meng, 2013, ISRN bioinformatics.

E-NEST Remote Learning Transition in STEM Education

Hon Jie Teo, Fangyang Shen, A. Satyanarayana, 2021 .

Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search

P. Dews, Yanqing Ji, H. Ying, 2016, BMC Bioinformatics.

A functional temporal association mining approach for screening potential drug–drug interactions from electronic patient databases

Yanqing Ji, John Tran, Hao Ying, 2016, Informatics for health & social care.

Integrating association mining into relevance feedback for biomedical literature search

Yanqing Ji, John Tran, Hao Ying, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

High-Performance Biomedical Association Mining with MapReduce

Yun Tian, Yanqing Ji, Fangyang Shen, 2015, 2015 12th International Conference on Information Technology - New Generations.

A Multi-relational Association Mining Algorithm for Screening Suspected Adverse Drug Reactions

Yanqing Ji, Fangyang Shen, John Tran, 2014, 2014 11th International Conference on Information Technology: New Generations.

Mining Infrequent Causal Associations in Electronic Health Databases

Yanqing Ji, John Tran, Hao Ying, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

A High Performance Agent-Based System for Reporting Suspected Adverse Drug Reactions

Yanqing Ji, Fangyang Shen, John Tran, 2012, 2012 Ninth International Conference on Information Technology - New Generations.

Leveraging MapReduce to efficiently extract associations between biomedical concepts from large text data

Yun Tian, Yanqing Ji, Fangyang Shen, 2016, Microprocess. Microsystems.

Team-based multi-agent system for early detection of adverse drug reactions in postmarketing surveillance

Yanqing Ji, Hao Ying, D.C. Barth-Jones, 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.

STEM Education Enrichment in NYC

Fangyang Shen, Yanqing Ji, Yi Han, 2019, 16th International Conference on Information Technology-New Generations (ITNG 2019).

Identifying adverse drug reaction signal pairs by a multi-agent intelligent system with fuzzy decision model

Yanqing Ji, Hao Ying, P. Dews, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

John Yen, Yanqing Ji, Hao Ying, 2011, 2011 Annual Meeting of the North American Fuzzy Information Processing Society.

State-Carrying Code for Computation Mobility

Hai Jiang, Yanqing Ji, Hai Jiang, 2010 .