Evaluating machine learning approaches for multi-label classification of unstructured electronic health records with a generative large language model

2024-06-27 health informatics Title + abstract only

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Multi-label classification of unstructured electronic health records (EHR) is challenging due to the semantic complexity of textual data. Identifying the most effective machine learning method for EHR classification is useful in real-world clinical settings. Advances in natural language processing (NLP) using large language models (LLMs) offer promising solutions. Therefore, this experimental research aims to test the effects of zero-shot and few-shot learning prompting, with and without paramet...

Evaluating machine learning approaches for multi-label classification of unstructured electronic health records with a generative large language model

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