Summary of Patient-centric Knowledge Graphs: a Survey Of Current Methods, Challenges, and Applications, by Hassan S. Al Khatib et al.
Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications
by Hassan S. Al Khatib, Subash Neupane, Harish Kumar Manchukonda, Noorbakhsh Amiri Golilarz, Sudip Mittal, Amin Amirlatifi, Shahram Rahimi
First submitted to arxiv on: 20 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents Patient-Centric Knowledge Graphs (PCKGs) as a significant shift in healthcare, enabling personalized care by integrating various health data. It reviews methodologies, challenges, and opportunities for PCKGs, focusing on their role in unifying disparate healthcare data and enhancing patient care. The paper discusses ontology design, data integration, knowledge extraction, and structured representation of knowledge, highlighting advanced techniques like reasoning, semantic search, and inference mechanisms. It also explores practical applications in personalized medicine, emphasizing the importance of improving disease prediction and treatment planning. The paper provides a foundational perspective on PCKGs, guiding future research and applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Patient-Centric Knowledge Graphs (PCKGs) are a new way to think about healthcare that focuses on individual patients. Imagine having all your health information in one place, making it easy for doctors to understand what’s going on with you. This paper looks at how PCKGs can be used to improve patient care by bringing together different types of health data. It also talks about the challenges and opportunities that come with creating these complex systems. |
Keywords
» Artificial intelligence » Inference
