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Clinical natural language processing for secondary uses.

作者信息

Gao Yanjun, Mahajan Diwakar, Uzuner Özlem, Yetisgen Meliha

机构信息

Department of Medicine, University of Wisconsin Madison, Madison, WI, United States; IBM T.J. Watson Research Center, Yorktown Heights, NY, United States; Department of Information Sciences and Technology, George Mason University, Fairfax, VA, United States; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.

Department of Medicine, University of Wisconsin Madison, Madison, WI, United States; IBM T.J. Watson Research Center, Yorktown Heights, NY, United States; Department of Information Sciences and Technology, George Mason University, Fairfax, VA, United States; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States. Electronic address: https://twitter.com/diwakarmahajan.

出版信息

J Biomed Inform. 2024 Feb;150:104596. doi: 10.1016/j.jbi.2024.104596. Epub 2024 Jan 24.

DOI:10.1016/j.jbi.2024.104596
PMID:38278312
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11212507/
Abstract
摘要

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本文引用的文献

[1]
Embedding-based terminology expansion via secondary use of large clinical real-world datasets.

J Biomed Inform. 2023-11

[2]
Annotated dataset creation through large language models for non-english medical NLP.

J Biomed Inform. 2023-9

[3]
Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities.

J Biomed Inform. 2023-9

[4]
An open source corpus and automatic tool for section identification in Spanish health records.

J Biomed Inform. 2023-9

[5]
Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes.

J Biomed Inform. 2023-8

[6]
Contextualized medication event extraction with striding NER and multi-turn QA.

J Biomed Inform. 2023-8

[7]
MedKPL: A heterogeneous knowledge enhanced prompt learning framework for transferable diagnosis.

J Biomed Inform. 2023-7

[8]
Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge.

J Biomed Inform. 2023-7

[9]
A deep learning approach for medication disposition and corresponding attributes extraction.

J Biomed Inform. 2023-7

[10]
Enhancing early autism prediction based on electronic records using clinical narratives.

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