https://w3id.org/np/RATsDohB7U29zqQsNgLIzdnbRcti-CmKVwvK5IbO8sq2s/Head https://w3id.org/np/RATsDohB7U29zqQsNgLIzdnbRcti-CmKVwvK5IbO8sq2s http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RATsDohB7U29zqQsNgLIzdnbRcti-CmKVwvK5IbO8sq2s/assertion https://w3id.org/np/RATsDohB7U29zqQsNgLIzdnbRcti-CmKVwvK5IbO8sq2s http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RATsDohB7U29zqQsNgLIzdnbRcti-CmKVwvK5IbO8sq2s/provenance https://w3id.org/np/RATsDohB7U29zqQsNgLIzdnbRcti-CmKVwvK5IbO8sq2s http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RATsDohB7U29zqQsNgLIzdnbRcti-CmKVwvK5IbO8sq2s/pubinfo https://w3id.org/np/RATsDohB7U29zqQsNgLIzdnbRcti-CmKVwvK5IbO8sq2s http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RATsDohB7U29zqQsNgLIzdnbRcti-CmKVwvK5IbO8sq2s/assertion https://doi.org/10.48550/arXiv.2508.06186 http://purl.org/dc/terms/title DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration https://doi.org/10.48550/arXiv.2508.06186 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#Dkgllm2025AdaptiveSemanticFusionAlgorithm https://doi.org/10.48550/arXiv.2508.06186 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#Dkgllm2025DkgllmFramework https://doi.org/10.48550/arXiv.2508.06186 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#DrKnows https://doi.org/10.48550/arXiv.2508.06186 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Dynllm https://doi.org/10.48550/arXiv.2508.06186 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Escargot https://doi.org/10.48550/arXiv.2508.06186 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#GraphRag https://doi.org/10.48550/arXiv.2508.06186 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Llmrg https://doi.org/10.48550/arXiv.2508.06186 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#Dkgllm2025AdaptiveSemanticFusionAlgorithm http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning https://neverblink.eu/ontologies/llm-kg/methods#Dkgllm2025AdaptiveSemanticFusionAlgorithm http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Dkgllm2025AdaptiveSemanticFusionAlgorithm http://www.w3.org/2000/01/rdf-schema#comment ASFA is the core innovation within the DKG-LLM framework, responsible for integrating Grok 3 outputs with the DKG, ensuring semantic consistency, and managing computational efficiency. 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It addresses the LLM's shortcomings in transparent reasoning by leveraging the DKG for structured knowledge and the Adaptive Semantic Fusion Algorithm (ASFA) for dynamic updates and probabilistic reasoning. 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