Zobrazeno 1 - 10
of 137
pro vyhledávání: '"McInnes, Bridget T."'
Autor:
Fu, Yujuan, Ramachandran, Giridhar Kaushik, Halwani, Ahmad, McInnes, Bridget T., Xia, Fei, Lybarger, Kevin, Yetisgen, Meliha, Uzuner, Özlem
Publikováno v:
Journal of the American Medical Informatics Association (2024): ocae231
Clinical notes contain unstructured representations of patient histories, including the relationships between medical problems and prescription drugs. To investigate the relationship between cancer drugs and their associated symptom burden, we extrac
Externí odkaz:
http://arxiv.org/abs/2409.03905
BioBERT-based Deep Learning and Merged ChemProt-DrugProt for Enhanced Biomedical Relation Extraction
This paper presents a methodology for enhancing relation extraction from biomedical texts, focusing specifically on chemical-gene interactions. Leveraging the BioBERT model and a multi-layer fully connected network architecture, our approach integrat
Externí odkaz:
http://arxiv.org/abs/2405.18605
Publikováno v:
American Medical Informatics Association (AMIA)-2021 Virtual Informatics Summit
Adverse drug events (ADEs) are unexpected incidents caused by the administration of a drug or medication. To identify and extract these events, we require information about not just the drug itself but attributes describing the drug (e.g., strength,
Externí odkaz:
http://arxiv.org/abs/2104.10791
Autor:
Mulyar, Andriy, McInnes, Bridget T.
Clinical notes contain an abundance of important but not-readily accessible information about patients. Systems to automatically extract this information rely on large amounts of training data for which their exists limited resources to create. Furth
Externí odkaz:
http://arxiv.org/abs/2004.10220
Autor:
Cuffy, Clint, McInnes, Bridget T.
Publikováno v:
In Journal of Biomedical Informatics July 2023 143
Autor:
French, Evan, McInnes, Bridget T.
Publikováno v:
In Journal of Biomedical Informatics January 2023 137
Publikováno v:
In Journal of Biomedical Informatics June 2022 130
Autor:
Fu, Yujuan Velvin1 (AUTHOR) velvinfu@uw.edu, Ramachandran, Giridhar Kaushik2 (AUTHOR), Halwani, Ahmad3 (AUTHOR), McInnes, Bridget T4 (AUTHOR), Xia, Fei5 (AUTHOR), Lybarger, Kevin2 (AUTHOR), Yetisgen, Meliha1 (AUTHOR), Uzuner, Özlem2 (AUTHOR)
Publikováno v:
Journal of the American Medical Informatics Association. Nov2024, Vol. 31 Issue 11, p2583-2594. 12p.
Autor:
Farnsworth, Steele, Gurdin, Gabrielle, Vargas, Jorge, Mulyar, Andriy, Lewinski, Nastassja, McInnes, Bridget T.
Publikováno v:
In Journal of Biomedical Informatics February 2022 126
Autor:
McInnes, Bridget T., Pedersen, Ted
Vector space methods that measure semantic similarity and relatedness often rely on distributional information such as co--occurrence frequencies or statistical measures of association to weight the importance of particular co--occurrences. In this p
Externí odkaz:
http://arxiv.org/abs/1609.00559