Summary of Medsyn: Llm-based Synthetic Medical Text Generation Framework, by Gleb Kumichev et al.
MedSyn: LLM-based Synthetic Medical Text Generation Framework
by Gleb Kumichev, Pavel Blinov, Yulia Kuzkina, Vasily Goncharov, Galina Zubkova, Nikolai Zenovkin, Aleksei Goncharov, Andrey Savchenko
First submitted to arxiv on: 4 Aug 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study explores the use of synthetic text generation in real-world medical settings to address the challenge of data availability in privacy-sensitive domains. The authors introduce MedSyn, a novel framework that combines large language models with a Medical Knowledge Graph (MKG) to generate synthetic clinical notes. They fine-tune GPT-4 and LLaMA models using MKG-sampled prompts and evaluate the benefits of synthetic data through application in the ICD code prediction task. The results show that synthetic data can increase classification accuracy by up to 17.8% for vital and challenging codes compared to settings without synthetic data. Additionally, the study presents a largest open-source synthetic dataset of clinical notes for Russian language, comprising over 41k samples covering 219 ICD-10 codes. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how to make fake medical records that can be used in place of real ones when privacy is important. They created a special tool called MedSyn that combines two big computer programs with a huge database of medical information. This helps the tool generate realistic medical notes, like doctor’s reports. The researchers tested this idea by trying to predict which medical codes were most common and found that using fake records helped them get more accurate results, especially for tricky cases. They also made a really big collection of fake medical records in Russian that others can use. |
Keywords
» Artificial intelligence » Classification » Gpt » Knowledge graph » Llama » Synthetic data » Text generation
