Yehoshua Perl
Affiliations: | New Jersey Institute of Technology, Newark, NJ, United States |
Area:
Computer ScienceGoogle:
"Yehoshua Perl"
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Publications
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| Zheng L, Min H, Chen Y, et al. (2020) Outlier concepts auditing methodology for a large family of biomedical ontologies. Bmc Medical Informatics and Decision Making. 20: 296 |
| Zheng L, Chen Y, Min H, et al. (2020) Missing lateral relationships in top-level concepts of an ontology. Bmc Medical Informatics and Decision Making. 20: 305 |
| Zheng L, He Z, Wei D, et al. (2020) A review of auditing techniques for the Unified Medical Language System. Journal of the American Medical Informatics Association : Jamia |
| Yumak H, Zheng L, Chen L, et al. (2019) Quality assurance of complex ChEBI concepts based on number of relationship types Applied Ontology. 14: 199-214 |
| Zheng L, Chen Y, Elhanan G, et al. (2018) Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies. Journal of Biomedical Informatics |
| He Z, Perl Y, Elhanan G, et al. (2017) Auditing the Assignments of Top-Level Semantic Types in the UMLS Semantic Network to UMLS Concepts. Proceedings. Ieee International Conference On Bioinformatics and Biomedicine. 2017: 1262-1269 |
| Halper M, Perl Y, Ochs C, et al. (2017) Taxonomy-Based Approaches to Quality Assurance of Ontologies. Journal of Healthcare Engineering. 2017: 3495723 |
| Zheng L, Yumak H, Chen L, et al. (2017) Quality Assurance of Chemical Ingredient Classification for the National Drug File - Reference Terminology. Journal of Biomedical Informatics |
| Ochs C, Perl Y, Geller J, et al. (2017) An Empirical Analysis of Ontology Reuse in BioPortal. Journal of Biomedical Informatics |
| Min H, Zheng L, Perl Y, et al. (2017) Relating Complexity and Error Rates of Ontology Concepts. More Complex NCIt Concepts Have More Errors. Methods of Information in Medicine |