Welcome to Duo Wei's homepage!

Duo Wei

PhD Candidate of Computer Science Department

New Jersey Institute of Technology

Office: GITC 4214

Phone: 973-596-2867

Email: dw59 at njit dot edu

About Me

Current , I am a fifth year PhD student, working with Dr. Perl (my research advisor) and Dr. Geller (my co-advisor) on the SNOMED CT (Systematized Nomenclature Of Medicine

Clinic Terms) project, which is granted by NLM (National Library of Medicine). It has to do with the orientation, navigation and the effective organization, analysis, management, and

use of the information in medical terminologies.

Teaching & Grading

CS_110A (Undergraduate) Introduction to Computer Science A -- Fall 2007, Spring 2008

CS_610 (Graduate) Data Structure & Algorithm Design -- Spring 2007 Spring 2008

CS_435 (Undergraduate) Advanced Data Structure - Algorithms Design -- Spring 2007

CS_602 (Graduate) Java Programming -- Fall 2006

Research

Research interest

Biomedical informatics

Knowledge representation

Data structure and algorithms

Data mining

Object-oriented modeling

Statistical machine learning

Natural language processing

Research Lab

The Medical Informatics Laboratory at the Department of Computer Science at NJIT, under the leadership of Yehoshua Perl, PhD and James Geller, PhD,

succeeded in getting an unprecedented four papers accepted at the American Medical Informatics Association (AMIA) Fall Symposium held last month in

Chicago. The papers are the result of a research project funded by the National Library of Medicine under the title “Partitioning to Support Auditing and

Extending the UMLS.” This is my research group (SABOC) - my proud!

Publication

Y. Wang, M. Halper, D. Wei, Y. Perl, and J. Geller, Abstraction of complex concepts with the refined partial-area taxonomy of SNOMED, submitted to Journal of Biomedical Informatics (JBI), 2011.
Y. Wang, M. Halper, D. Wei, H. Gu, Y. Perl, J. Xu, G. Elhanan, Y. Chen, K.A. Spackman, J. T. Case, G. Hripcsak, Auditing complex concepts of SNOMED using a refined hierarchical abstraction network, submitted to Journal of Biomedical Informatics (JBI), 2011
D. Wei, M. Halper, G. Elhanan, Using SNOMED semantic concept groupings to enhance semantic-type assignments in the UMLS, submitted to 2011 American Medical Informatics Association (AMIA) Annual Symposium.
D. Wei, O. Bodenreider, Using the abstraction network in complement to description logics for quality assurance in biomedical terminologies - a case study in SNOMED CT, Medinfo, Cape Town, South Africa, Sep. 2010.
D. Wei, M. Halper, G. Elhanan, Y. Chen, Y. Perl, J. Geller, and K. A. Spackman, Auditing SNOMED relationships using a converse abstraction network, Proceedings of the 2009 American Medical Informatics Association (AMIA) Annual Symposium, pp. 685-689, San Francisco, CA, Nov. 2009.
H. Gu., D. Wei, J. Mejino, and G. Elhanan, Relationship Auditing of the FMA Ontology, Journal of Biomedical Informatics (JBI), vol. 42, no. 3, pp. 550-557, Jun. 2009.
Y. Wang, D. Wei, J. Xu, G. Elhanan, Y. Perl, M. Halper, Y. Chen, K. A. Spackman, and G. Hripcsak, Auditing complex concepts in overlapping subsets of SNOMED, Proceedings of the 2008 American Medical Informatics Association (AMIA) Annual Symposium, pp. 273-277, Washington, DC, Nov. 2008.
D. Wei, Y. Wang, Y. Perl, J. Xu, M. Halper, and K. A. Spackman, Complexity measures to track the evolution of a SNOMED hierarchy, Proceedings of the 2008 American Medical Informatics Association (AMIA) Annual Symposium, pp. 778-782, Washington, DC, Nov. 2008.

Links

CS_734 Data Mining (Spring 2009)

SAS Test Page