Article

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

2024-06-27

Abstract excerpt

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...

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Literature Corpus work: c73a5c46-08e0-5bdc-8493-3675bfcbaa98
DOI: 10.1101/2024.06.24.24309441

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