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Knowledge Integration for Disease Characterization: A Breast Cancer Example.

, , , , , , and . ISWC (2), volume 11137 of Lecture Notes in Computer Science, page 223-238. Springer, (2018)

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Enabling Trust in Clinical Decision Support Recommendations through Semantics., , , , , , , , and . SeWeBMeDa@ISWC, volume 2477 of CEUR Workshop Proceedings, page 55-67. CEUR-WS.org, (2019)Automating Population Health Studies Through Semantics and Statistics., , , , , , , , and . SAWSemStats@ISWC, volume 2549 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)A Linked Data Representation for Summary Statistics and Grouping Criteria., , , , and . SAWSemStats@ISWC, volume 2549 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Knowledge Extraction of Cohort Characteristics in Research Publications., , , , , , , and . AMIA, AMIA, (2020)Semantically enabling clinical decision support recommendations., , , , , , , , , and 2 other author(s). J. Biomed. Semant., 14 (1): 8 (December 2023)Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case., , , , , , , , , and . CoRR, (2021)G-PROV: Provenance Management for Clinical Practice Guidelines., , , , , and . SeWeBMeDa@ISWC, volume 2477 of CEUR Workshop Proceedings, page 68-75. CEUR-WS.org, (2019)Semantically-targeted analytics for reproducible scientific discovery., , , , , , and . AIDR, page 2:1-2:4. ACM, (2019)Directions for Explainable Knowledge-Enabled Systems., , , and . Knowledge Graphs for eXplainable Artificial Intelligence, volume 47 of Studies on the Semantic Web, IOS Press, (2020)Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology., , , , , , and . AMIA, AMIA, (2021)