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

Abstract 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 pro... View More