Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data

Generative models have been showing potential for producing data in mass. This study explores the enhancement of clinical natural language processing performance by utilizing synthetic data generated from advanced language models. Promising results show feasible applications in such a high-stakes domain.

cs.CL Topic Modeling Biomedical Text Mining and Ontologies Natural Language Processing Techniques Computer Science Medicine Linguistics

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References (20)

01Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-DataRumeng Li, Xun Wang, Hong Yu2023 · Conference on Empirical Methods in Natural Language Processing · 59 citations In Library

02Large language models to identify social determinants of health in electronic health recordsMarco Guevara, Shan Chen, S. Thomas et al.2023 · npj Digit. Medicine · 271 citations In Library

03EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health recordsJinsung Yoon, Michel Mizrahi, N. F. Ghalaty et al.2023 · npj Digit. Medicine · 90 citations

04Llama 2: Open Foundation and Fine-Tuned Chat ModelsHugo Touvron, Louis Martin, Kevin R. Stone et al.2023 · arXiv.org · 18k citations In Library

05Delivering on NIH data sharing requirements: avoiding Open Data in Appearance OnlyHope Watson, Jack Gallifant, Yuan Lai et al.2023 · BMJ Health & Care Informatics · 18 citations

06Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social ScienceVeniamin Veselovsky, Manoel Horta Ribeiro, Akhil Arora et al.2023 · arXiv.org · 49 citations In Library

07Evaluation of ChatGPT Family of Models for Biomedical Reasoning and ClassificationShan Chen, Yingya Li, Sheng Lu et al.2023 · J. Am. Medical Informatics Assoc. · 83 citations In Library

08Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing RadiotherapyShan Chen, Marco Guevara, N. Ramirez et al.2023 · JCO Clinical Cancer Informatics · 19 citations In Library

09Does Synthetic Data Generation of LLMs Help Clinical Text Mining?Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang et al.2023 · arXiv.org · 258 citations In Library

10Do We Still Need Clinical Language Models?Eric P. Lehman, Evan Hernandez, Diwakar Mahajan et al.2023 · ACM Conference on Health, Inference, and Learning · 174 citations In Library

11The Flan Collection: Designing Data and Methods for Effective Instruction TuningS. Longpre, Le Hou, Tu Vu et al.2023 · International Conference on Machine Learning · 955 citations In Library

12TabLLM: Few-shot Classification of Tabular Data with Large Language ModelsS. Hegselmann, Alejandro Buendia, Hunter Lang et al.2022 · International Conference on Artificial Intelligence and Statistics · 410 citations In Library

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