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Hierarchical attention networks for information extraction from cancer pathology reports.

, , , , , , , and . JAMIA, 25 (3): 321-330 (2018)

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Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports., , , , , , , , , and 3 other author(s). BHI, page 1-4. IEEE, (2019)Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction., , , and . BigData, page 2838-2846. IEEE, (2018)An Emerging Role for Polystores in Precision Medicine., , , and . DMAH@VLDB, volume 10494 of Lecture Notes in Computer Science, page 41-52. Springer, (2017)Hierarchical attention networks for information extraction from cancer pathology reports., , , , , , , and . JAMIA, 25 (3): 321-330 (2018)Classifying cancer pathology reports with hierarchical self-attention networks., , , , , , , , , and 3 other author(s). Artificial Intelligence in Medicine, (2019)CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules., , , , , , and . BMC Bioinformatics, 19-S (18): 3-8 (2018)Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters., , , and . BCB, page 320-327. ACM, (2019)A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data., , , , and . BHI, page 1-4. IEEE, (2019)Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks., , , , , and . INNSBDDL, page 89-98. Springer, (2019)A Theory and Implementation of Smooth Conditional Maps., and . DG.O, Digital Government Research Center, (2002)