A novel approach for Rare Disease symptom extraction from Clinical Texts Using Knowledge Graph Embeddings and Large Language Models
This study demonstrates how the new-age technologies, such as GenAI and Natura Language Processing (NLP) can aid in collecting valuable clinical data, improving patient safety and rare disease identification, as well as integrating natural language processing and graph-based reasoning to enhance disease recognition.