Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs

• URL: http://arxiv.org/abs/2309.16593v1
• Date: Thu, 28 Sep 2023 16:57:03 GMT
• Title: Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
• Authors: Satvik Garg, Shivam Parikh, Somya Garg
• Abstract summary: Knowledge graphs (KGs) are gaining prominence in Healthcare AI, especially in drug discovery and pharmaceutical research. This overview summarizes recent literature on the impact of KGs in healthcare and their role in developing explainable AI models. We emphasize the importance of making KGs more interpretable through knowledge-infused learning in healthcare.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Knowledge graphs (KGs) are gaining prominence in Healthcare AI, especially in drug discovery and pharmaceutical research as they provide a structured way to integrate diverse information sources, enhancing AI system interpretability. This interpretability is crucial in healthcare, where trust and transparency matter, and eXplainable AI (XAI) supports decision making for healthcare professionals. This overview summarizes recent literature on the impact of KGs in healthcare and their role in developing explainable AI models. We cover KG workflow, including construction, relationship extraction, reasoning, and their applications in areas like Drug-Drug Interactions (DDI), Drug Target Interactions (DTI), Drug Development (DD), Adverse Drug Reactions (ADR), and bioinformatics. We emphasize the importance of making KGs more interpretable through knowledge-infused learning in healthcare. Finally, we highlight research challenges and provide insights for future directions.

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