Identification of Syndrome Types in Patients With Pancreatic Cancer From Free Text in Electronic Medical Records: Model Development and Validation

The TCMPCSD-BERT model shows potential for automated syndrome differentiation from unstructured clinical texts and broader application in TCM. Based on this study, it appears to improve operability over 4-diagnostic instruments and web-based platforms, and offers greater stability and accuracy than LLMs in specific tasks. However, these findings should be interpreted cautiously, given the subjectivity of syndrome definitions, data imbalance, and reliance on preprocessed, expert-annotated data. Further studies involving larger and more diverse populations are needed to validate its generalizability and support its broader application in real-world settings.