Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model
Author:
Affiliation:
1. IUPUI,Department of CIS,Indianapolis,IN,USA
2. Florida State University,School of Information,Tallahassee,FL,USA
3. Oklahoma State University IUPUI,Department of MSIS Department of CIT,Stillwater OK Indianapolis,IN,USA
Funder
Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386811.pdf?arnumber=10386811
Reference23 articles.
1. Large language models are few-shot clinical information extractors
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4. Evaluation of gpt-3.5 and gpt-4 for supporting real-world information needs in healthcare delivery;Dash;arXiv preprint arXiv:2304.13714,2023
5. News summarization and evaluation in the era of gpt-3;Goyal;arXiv preprint arXiv:2209.12356,2022
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1. Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis;Journal of Healthcare Informatics Research;2024-09-14
2. Evaluating machine learning approaches for multi-label classification of unstructured electronic health records with a generative large language model;2024-06-27
3. Zero-shot learning to extract assessment criteria and medical services from the preventive healthcare guidelines using large language models;Journal of the American Medical Informatics Association;2024-06-20
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