تقرير
A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights
| العنوان: | A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights |
|---|---|
| المؤلفون: | Otal, Hakan T., Faraone, Stephen V., Canbaz, M. Abdullah |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Social and Information Networks, Computer Science - Computation and Language, 68T30, 68T50, 92C30, I.2.4, I.2.7, J.3 |
| الوصف: | 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 developed a context-aware chatbot using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), 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: 14 pages, 2 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2409.12853 |
| رقم الأكسشن: | edsarx.2409.12853 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |