摘要
提出一种基于智能信号分析的导诊框架,通过命名实体识别对患者描述的疾病进行自然语言查询注释,采用词嵌入法将用户疾病查询数据转换为矩阵表达式,利用人工智能导诊模型获得导诊结果。经验证该方法对于在线医疗导诊具有较高准确性。
The paper proposes the hospital guide framework based on intelligent signal analysis.The disease that patient describes is queried and annotated by natural language through Named Entity Recognition(NER),and the disease query data of users is converted into matrix expression by word embedding method.The Artificial Intelligence(AI)hospital guide model is used to obtain the diagnosis results.It is verified that this method has a high accuracy for online medical referral.
作者
张立
ZHANG Li(The Affiliated Changshu Hospital of Soochow University(Changshu No.1 People's Hospital),Changshu 215500,China)
出处
《医学信息学杂志》
CAS
2020年第12期68-72,共5页
Journal of Medical Informatics
基金
常熟市卫健委资助性项目“医院人力资源管理系统开发应用研究”(项目编号:csws201719)。
关键词
导诊
人工智能
信息系统
词嵌入
命名实体识别
文本识别
hospital guide
Artificial Intelligence(AI)
information system
word embedding
Named Entity Recognition(NER)
text recognition
