Summary of Research on the Proximity Relationships Of Psychosomatic Disease Knowledge Graph Modules Extracted by Large Language Models, By Zihan Zhou et al.
Research on the Proximity Relationships of Psychosomatic Disease Knowledge Graph Modules Extracted by Large Language Models
by Zihan Zhou, Ziyi Zeng, Wenhao Jiang, Yihui Zhu, Jiaxin Mao, Yonggui Yuan, Min Xia, Shubin Zhao, Mengyu Yao, Yunqian Chen
First submitted to arxiv on: 24 Dec 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 proposed ontology model and entity types utilize the BERT model and LoRA-tuned LLM for named entity recognition, constructing a knowledge graph with 9668 triples. This framework enables the analysis of network distances between disease, symptom, and drug modules, revealing that closer relationships among diseases can predict similar clinical manifestations, treatment approaches, and psychological mechanisms. Furthermore, the study highlights the connection between symptoms and co-occurring diseases, demonstrating stronger associations in primary diagnostic relationships. The findings provide valuable insights for diagnosing and treating psychosomatic disorders, offering new perspectives for mental health research and practice. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A team of researchers has developed a new system to understand and diagnose psychosomatic disorders. These are medical conditions that affect the body but have psychological causes. To build this system, they used artificial intelligence tools like BERT and LoRA-tuned LLM. They created a big database of information, called a knowledge graph, which contains over 9,600 connections between different pieces of information. By studying these connections, they found patterns that can help doctors diagnose and treat psychosomatic disorders more effectively. The study also showed that certain symptoms are often linked to specific diseases, and this could lead to better treatment options in the future. |
Keywords
» Artificial intelligence » Bert » Knowledge graph » Lora » Named entity recognition
