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Algorithmic detection of inconsistent modeling among SNOMED CT concepts by combining lexical and structural indicators.

, , , and . BIBM, page 476-483. IEEE Computer Society, (2015)

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A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships., , , , , , and . JAMIA, 22 (3): 628-639 (2015)Identifying Inconsistencies in SNOMED CT Problem Lists using Structural Indicators., , , , and . AMIA, AMIA, (2013)Analysis of the consistency in the structural modeling of SNOMED CT and CORE problem list concepts., and . BIBM, page 292-296. IEEE Computer Society, (2017)Contrasting lexical similarity and formal definitions in SNOMED CT: Consistency and implications., and . Journal of Biomedical Informatics, (2014)Evaluating lexical similarity and modeling discrepancies in the procedure hierarchy of SNOMED CT.. BMC Med. Inf. & Decision Making, 18 (S-4): 27-33 (2018)Area efficient phase calibration of a 1.6 GHz multiphase DLL., , and . CICC, page 1-4. IEEE, (2011)Algorithmic detection of inconsistent modeling among SNOMED CT concepts by combining lexical and structural indicators., , , and . BIBM, page 476-483. IEEE Computer Society, (2015)Identifying Problematic Concepts in SNOMED CT using a Lexical Approach., , and . MedInfo, volume 192 of Studies in Health Technology and Informatics, page 773-777. IOS Press, (2013)The readiness of SNOMED problem list concepts for meaningful use of electronic health records., , , , , , and . Artificial Intelligence in Medicine, 58 (2): 73-80 (2013)Terrain Adaptive Posture Correction in Quadruped for Locomotion On Unstructured Terrain., , , , and . AIR, page 46:1-46:6. ACM, (2017)