| 老年疾病康复知识图谱构建与应用探索 |
| 修订日期：2023-03-27 点此下载全文 |
| 引用本文：方攀,曹宇汀,丁子啸,等.老年疾病康复知识图谱构建与应用探索[J].医学信息学杂志,2023,44(8):42-48 |
| 摘要点击次数: |
| 全文下载次数: |
|
| 基金项目:国家重点研发计划(项目编号:2020YFC2008703)。 |
|
| 中文摘要:目的/意义 构建面向老年疾病康复的知识图谱,以探索预防、康复一体化的居家老年人自主管理体系,提高智能老年疾病康复和照护体系的个性化水平和效能,为应对人口老龄化提供助力。方法/过程 通过自然语言处理算法、医学专家人工标注构建面向老年疾病康复的知识图谱,使用Med-BERT + BiLSTM + CRF组合算法进行实体抽取,并搭建基于知识图谱的智能问答系统。结果/结论 新设计的面向老年疾病康复的知识图谱质量达到预期,基于知识图谱的问答系统能够为老年用户提供交互友好的知识获取方式。 |
| 中文关键词:老年医学 疾病康复 知识图谱 问答系统 自然语言处理 |
| |
| Preliminary Study on the Construction and Application of Knowledge Graph for Rehabilitation of Senile Diseases |
|
|
| Abstract:Purpose/Significance To build a knowledge graph for the rehabilitation of elderly diseases, in order to explore a home-based elderly self-management system that integrates prevention and rehabilitation, improve the personalized level and efficiency of the intelligent elderly disease rehabilitation and care system, and provide help for coping with the aging population. Method/Process Based on natural language processing (NLP) algorithms and the manual annotation from medical experts, a knowledge graph for geriatrics is built, which is performed by Med-BERT + BiLSTM + CRF combination algorithm, and an intelligent question answering system is established based on the knowledge graph.Result/Conclusion The quality of the newly designed knowledge graph for the rehabilitation of senile diseases meets the expectation, and the question answering system based on knowledge graph provides an interactive and friendly way for the elderly users to acquire knowledge. |
| keywords:geriatrics disease rehabilitation knowledge graph question answering system natural language processing (NLP) |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
