An efficient, large-scale, non-lattice-detection algorithm for exhaustive structural auditing of biomedical ontologies

Author:

Zhang Guo-Qiang,Xing Guangming,Cui LicongORCID

Funder

National Science Foundation

National Institutes of Health (NIH) National Center for Advancing Translational Sciences

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference17 articles.

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Leveraging logical definitions and lexical features to detect missing IS-A relations in biomedical terminologies;Journal of Biomedical Semantics;2024-05-01

2. Self-prediction of relations in GO facilitates its quality auditing;Journal of Biomedical Informatics;2023-08

3. Logical definition-based identification of potential missing concepts in SNOMED CT;BMC Medical Informatics and Decision Making;2023-05-09

4. Leveraging non-lattice subgraphs for suggestion of new concepts for SNOMED CT;2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2021-12-09

5. Detecting missing IS-A relations in the NCI Thesaurus using an enhanced hybrid approach;BMC Medical Informatics and Decision Making;2020-12

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