Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
The incorporation of data analytics in the healthcare industry has made significant progress,
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions
GPT-4 demonstrates high accuracy in medical QA tasks, leading with an accuracy of
86.70%, followed by Med-PaLM 2 at 86.50%. However, around 14% of errors remain …
86.70%, followed by Med-PaLM 2 at 86.50%. However, around 14% of errors remain …
Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering Over Knowledge Graph
Temporal Knowledge Graph (TKG) is an extension of regular knowledge graph by attaching
the time scope. Existing temporal knowledge graph question answering (TKGQA) models …
the time scope. Existing temporal knowledge graph question answering (TKGQA) models …
Healthcare knowledge graph construction: State-of-the-art, open issues, and opportunities
The incorporation of data analytics in the healthcare industry has made significant progress,
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
Using Semantic Knowledge to Enhance Healthcare
R Hendawi - 2024 - search.proquest.com
Intelligent healthcare services and biomedical products rely on the ability to effectively utilize
valuable medical data. However, although there is a large amount of medical data …
valuable medical data. However, although there is a large amount of medical data …