1. A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights
- Author
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Otal, Hakan T., Faraone, Stephen V., and Canbaz, M. Abdullah
- Subjects
Computer Science - Social and Information Networks ,Computer Science - Computation and Language ,68T30, 68T50, 92C30 ,I.2.4 ,I.2.7 ,J.3 - Abstract
Attention-Deficit/Hyperactivity Disorder (ADHD) is a challenging disorder to study due to its complex symptomatology and diverse contributing factors. To explore how we can gain deeper insights on this topic, we performed a network analysis on a comprehensive knowledge graph (KG) of ADHD, constructed by integrating scientific literature and clinical data with the help of cutting-edge large language models. The analysis, including k-core techniques, identified critical nodes and relationships that are central to understanding the disorder. Building on these findings, we curated a knowledge graph that is usable in a context-aware chatbot (Graph-RAG) with Large Language Models (LLMs), enabling accurate and informed interactions. Our knowledge graph not only advances the understanding of ADHD but also provides a powerful tool for research and clinical applications., Comment: 12 pages, 2 figures
- Published
- 2024