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Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient Summaries.

, , , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 187-191. IOS Press, (2021)

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Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient Summaries., , , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 187-191. IOS Press, (2021)Reusing Decisions Made with One Decision Support System to Assess a Second Decision Support System: Introducing the Notion of Complex Cases., , , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 649-653. IOS Press, (2021)Creating Synthetic Patients to Address Interoperability Issues: A Case Study with the Management of Breast Cancer Patients., , , , and . EFMI-STC, volume 275 of Studies in Health Technology and Informatics, page 177-181. IOS Press, (2020)Are Semantic Annotators Able to Extract Relevant Complexity-Related Concepts from Clinical Notes?, , , and . EFMI-STC, volume 287 of Studies in Health Technology and Informatics, page 153-157. IOS Press, (2021)Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases., , , and . MIE, volume 294 of Studies in Health Technology and Informatics, page 78-82. IOS Press, (2022)Supporting multidisciplinary staff meetings for guideline-based breast cancer management: a study with OncoDoc2., , , and . AMIA, AMIA, (2007)