Michael Halper

Summarizing an ontology: a "big knowledge" coverage approach
MedInfo, August 2017

A Quality-Assurance Study of ChEBI
International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016), August 2016

The Big Knowledge to Use (BK2U) Challenge
Data Science, Learning, and Applications to Biomedical and Health Sciences, January (1st Quarter/Winter) 2016

Gene Ontology Summarization to Support Visualization and Quality Assurance
BICoB 6th international conference on Bioinformatics and Computational Biology, March 2015

Using Android as a platform for programming in the IT curriculum
Proceedings of SIGITE 2014 (ACM), October (4th Quarter/Autumn) 2014

A family-based framework for supporting quality assurance of biomedical ontologies in BioPortal
American Medical Informatics Association (AMIA) Annual Symposium, November 2013

Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies
American Medical Informatics Association (AMIA) Annual Symposium, November 2013

Choosing the Granularity of Abstraction Networks for Orientation and Quality Assurance of the Sleep Domain Ontology
4th International Conference on Biomedical Ontology ICBO 2013, July (3rd Quarter/Summer) 2013

Deriving an Abstraction Network to Support Quality Assurance in OCRe
Proceedings of the American Medical Informatics Association (AMIA) Annual Meeting, November 2012

Clinical clarity versus terminological order -- the readiness of SNOMED CT concept descriptors for primary care
Proceedings of the 2nd International Workshop on Managing Interoperability and Complexity in Health Systems (MIXHS'12), October (4th Quarter/Autumn) 2012

Questionable relationship triples in the UMLS
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), January (1st Quarter/Winter) 2012

Using SNOMED semantic concept groupings to enhance semantic-type assignment consistency in the UMLS
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI 2012), January (1st Quarter/Winter) 2012

Auditing hierarchical cycles to locate other inconsistencies in the UMLS
AMIA Annual Symposium Proceedings, October (4th Quarter/Autumn) 2011

Multimedia-based visual programming promoting core competencies in IT education
Proceedings of SIGITE 2011 (ACM), October (4th Quarter/Autumn) 2011

Auditing SNOMED Integration into the UMLS for Duplicate Concepts
American Medical Informatics Association Annu Symp Proc, November 2010

Dissimilarities in the logical modeling of apparently similar concepts in SNOMED CT
American Medical Informatics Association Annu Symp Proc, November 2010

Perl, Yehoshua, & Geller, James, & Halper, Michael H., & Ochs, Christopher, & Zheng, Ling, & Kapusnik-Uner, Joan (2017). Introducing the Big Knowledge to Use (BK2U) challenge. Annals of the New York Academy of Sciences, 1387, 12-24.

Ochs, Christopher, & Perl, Yehoshua, & Halper, Michael H., & Geller, James, & Lomax, Janet (2016). Quality assurance of the Gene Ontology using Abstraction Networks. Journal of Bioinformatics and Computational Biology, 14(3),

Gu, Huanying, & Chen, Yan, & He, Zhe, & Halper, Michael H., & Chen, Ling (2016). Quality assurance of UMLS semantic type assignments using SNOMED CT hierarchies. Methods of Information in Medicine, 55(2),

Wei, Duo, & Gu, Huanying, & Perl, Yehoshua, & Halper, Michael H., & Ochs, Christopher, & Elhanan, Gai, & Chen, Yan (2015). Structural measures to track the evolution of SNOMED CT hierarchies. Journal of Biomedical Informatics, 57, 278-287.

Wei, Duo, & Gu, Huanying, & Perl, Yehoshua, & Halper, Michael H., & Ochs, Christopher, & Elhanan, Guy, & Chen, Yan (2015). Structural measures to track the evolution of SNOMED CT hierarchies. J Biomed Informatics, doi: 10.1016/j.jbi.2015.08.001. [Epub ahead of print],

Halper, Michael H., & Gu, Huanying, & Perl, Yehoshua, & Ochs, Christopher (2015). Abstraction networks for terminologies: Supporting management of big knowledge. Artificial Intelligence in Medicine, 64(1), 1-16.

Gu, Huanying, & Chen, Yan, & He, Zhe, & Halper, Michael H., & Chen, Ling (2015). Quality assurance of UMLS semantic type assignments using SNOMED CT hierarchies. Methods of Information in Medicine, dx.doi.org/10.3414/ME14-01-0104 [Epub ahead of print],

Agrawal, Ankur, & He, Zhe, & Perl, Yehoshua, & Wei, Duo, & Halper, Michael H., & Elhanan, Gai, & Chen, Yan (2013). The readiness of SNOMED problem list concepts for meaningful use of electronic health records.. Artificial Intelligence in Medicine, 58(2), 73-80.

Morrey, C. P., & Perl, Yehoshua, & Halper, Michael H., & Chen, Ling, & Gu, Huanying (2012). A chemical specialty semantic network for the Unified Medical Language System. Journal of Cheminformatics, 4:9,

Wang, Yue, & Halper, Michael H., & Wei, Duo, & Perl, Yehoshua, & Geller, James (2012). Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED. Journal of Biomedical Informatics, 45(1), 15-29.

Wang, Yue, & Halper, Michael H., & Wei, Duo, & Perl, Yehoshua, & Geller, James (2012). Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED. Journal of Biomedical Informatics, 45(1), 15-29.

Huang, Kuo-chuan, & Geller, James, & Halper, Michael H., & Elhanan, Gai, & Perl, Yehoshua (2011). Scalability of piecewise synonym identification in integration of SNOMED into the UMLS. International Journal of Computational Models and Algorithms in Medicine, 2(3), 26-45.

Morrey, C P, & Chen, Ling, & Halper, Michael H., & Perl, Yehoshua (2011). Resolution of redundant semantic type assignments for organic chemicals in the UMLS. Artificial Intelligence in Medicine, 52(3), 141-151.

Gu, Huanying, & Perl, Yehoshua, & Halper, Michael H., & Geller, James, & Neuhold, Erich J. (2004). Contextual partitioning for comprehension of OODB schemas. Knowledge and Information Systems, 6(3), 315-344.