Methods for automated processing of biomedical data

A method for automated processing of biomedical data, performed by a computing system including a processor and a memory, comprising:

• determining, based on a knowledge graph, at least one candidate synonym pair from a biomedical dataset to be analyzed, wherein a topological distance between any two data elements of the at least one candidate synonym pair in the knowledge graph is less than or equal to a topological distance threshold;
• determining an original context of data elements in the at least one candidate synonym pair based on the biomedical dataset to be analyzed;
• performing a concurrent retrieval in a biomedical corpus based on the data elements, to recall at least K groups of context fragments distributed across different application scenarios for each of the data elements;
• inputting the original context and the at least K groups of context fragments of the data elements included in the at least one candidate synonym pair into a large language model (LLM) to obtain a semantic consistency score that measures a semantic similarity degree of the at least one candidate synonym pair, wherein the LLM is a machine learning model;
• determining a merged semantic group that is semantically equivalent from the at least one candidate synonym pair based on the semantic consistency score, and generating a merged semantic label for the merged semantic group;
• dynamically deploying the merged semantic label into a data reading plug-in located between different biomedical systems;
• and
• controlling the data reading plug-in to perform a process including:
• in response to receiving a heterogeneous service data stream containing a heterogeneous character identifier, performing a standardized payload conversion on the heterogeneous service data stream based on the merged semantic label:
• mapping the heterogeneous character identifier to a unified merged semantic label and appending the unified merged semantic label to a data packet;
• and
• retaining the heterogeneous character identifier as an original traceability field.