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。
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.
作者
方攀
曹宇汀
丁子啸
张顺
李兆融
曾震宇
朱睿
FANG Pan;CAO Yuting;DING Zixiao;ZHANG Shun;LI Zhaorong;ZENG Zhenyu;ZHU Rui(Alibaba Group,Hangzhou 311121,China;YangZhi Rehabilitation Hospital,Tongji University,Shanghai 200092,China)
出处
《医学信息学杂志》
CAS
2023年第8期42-48,共7页
Journal of Medical Informatics
基金
国家重点研发计划(项目编号:2020YFC2008703)。
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
geriatrics
disease rehabilitation
knowledge graph
question answering system
natural language processing(NLP)
