Summary of Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations For Automatic Icd Coding, by Zeyd Boukhers and Ameerali Khan and Qusai Ramadan and Cong Yang
Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations for Automatic ICD Coding
by Zeyd Boukhers, AmeerAli Khan, Qusai Ramadan, Cong Yang
First submitted to arxiv on: 11 Nov 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Information Retrieval (cs.IR)
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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 paper investigates the use of Large Language Models (LLM), specifically the LLAMA architecture, to enhance International Classification of Diseases (ICD) code classification from medical discharge summaries. The authors explore two methodologies: directly applying LLAMA as a classifier and using it as a generator of enriched text representations within a Multi-Filter Residual Convolutional Neural Network (MultiResCNN) framework. The paper evaluates these methods by comparing them to state-of-the-art approaches, demonstrating the potential of LLAMA to significantly improve classification outcomes by providing deep contextual insights into medical texts. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps doctors and computers work better together by using special computer models called Large Language Models (LLMs). These models can help figure out what kind of disease someone has based on their doctor’s notes. The researchers tried two ways to use these models: one where the model directly tells you what disease it is, and another way where the model helps create a better version of the doctor’s notes that makes it easier for computers to understand. They compared these methods to other state-of-the-art approaches and found that the LLMs can really help make accurate diagnoses. |
Keywords
» Artificial intelligence » Classification » Llama » Neural network
