摘要
针对非小细胞肺癌(NSCLC)诊疗方法复杂及治疗过程中如何参考海量医疗数据做出决策的问题,借助机器学习算法提出了建立中晚期NSCLC专病数据库的一种方案。以NSCLC为研究对象,在电子病历文本上应用自然语言处理和信息抽取,实现患者病历数据的结构化提取,建立NSCLC专病数据库;在此专病数据库基础上,进一步建立了中晚期NSCLC临床治疗知识库,通过接口调用方式,针对用户的需求提供相关信息,为临床决策提供参考。
To solve the problems of the complicated diagnosis and treatment methods of non-small cell lung cancer(NSCLC)and how to make decisions based on massive medical data in the treatment process,this paper proposed a scheme to establish a special disease database of middle-advanced NSCLC with the help of machine learning algorithm.Taking NSCLC as the research object,natural language processing and information extraction are applied in the electronic medical record text to realize the structured extraction of patient's medical record data and establish the NSCLC special disease database.On the basis of this special disease database,the clinical treatment knowledge base of middle-advanced NSCLC is further established,which provides decision-making information according to the needs of users through interface invocation,so as to provide reference for clinical decision-making.
作者
陈可
王俊
Chen Ke;Wang Jun(Department of Information,Thoracic Area,Brain Hospital Affiliated to Nanjing Medical University,Nanjing 210029,Jiangsu Province,China)
出处
《中国数字医学》
2022年第6期109-113,共5页
China Digital Medicine
基金
南京市卫生科技发展资金资助项目-基于大数据的中晚期非小细胞肺癌精准治疗智能专家系统研究(YKK20099)。
关键词
非小细胞肺癌
专病数据库
自然语言处理
机器学习
Non-small cell lung cancer
Special disease database
Natural language processing
Machine learning
