Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review-Reference-Cited by-同舟云学术

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Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review

Published:2024-05-23 Issue:6 Volume:1 Page:
ISSN:2836-9386
Container-title:NEJM AI
language:en
Short-container-title:NEJM AI

Author:

Wu Jiageng¹^ORCID,Liu Xiaocong¹^ORCID,Li Minghui¹^ORCID,Li Wanxin¹^ORCID,Su Zichang²^ORCID,Lin Shixu¹^ORCID,Garay Lucas¹^ORCID,Zhang Zhiyun³^ORCID,Zhang Yujie³^ORCID,Zeng Qingcheng⁴^ORCID,Shen Jie¹^ORCID,Yuan Changzheng¹⁵^ORCID,Yang Jie⁶^ORCID

Affiliation:

1. School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China

2. School of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China

3. School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China

4. Department of Linguistics, Northwestern University, Evanston, IL

5. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston

6. Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital & Harvard Medical School, Boston

Publisher

Massachusetts Medical Society

Reference73 articles.

1. High-performance medicine: the convergence of human and artificial intelligence

2. Large language models in medicine

3. Axes of a revolution: challenges and promises of big data in healthcare

4. Modern Clinical Text Mining: A Guide and Review

5. Predictive structured–unstructured interactions in EHR models: A case study of suicide prediction

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3. The sexual and gender-diverse face more health challenges during COVID-19: A large-scale social media analysis with natural language processing;2024-06-15

4. Characterizing Public Sentiments and Drug Interactions during COVID-19: A Pretrained Language Model and Network Analysis of Social Media Discourse;2024-06-06

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