Research on Intelligent Semantic Retrieval System for Large-Scale Biomedical Texts

This paper presents a semi-interpretable model of biomedical knowledge based on a hierarchical topic model to address the challenges posed by the large number of biomedical texts with varying types, complex structures, and fuzzy features. The research implements a large-scale biomedical text intelligent semantic retrieval system to support long queries. The system can retrieve relevant biomedical literature based on a long query that combines the patient's biomedical record and various examination indexes provided by the attending physician or graduate student. The accuracy and completeness of the search are considered.