摘要
目的/意义梳理分析医疗健康领域问题分类发展现状,为提升医学问答系统性能提供思路。方法/过程基于医疗健康领域问题分类相关文献资料,梳理现有分类体系、数据集、深度学习方法、评价标准和应用情况,分析未来医疗健康问题分类研究改进方向和核心科学问题。结果/结论医疗健康问题分类有助于更好地理解问题,提高医疗健康领域问答系统性能,提供更高效的医疗服务。
Purpose/Significance To sort out and analyze the development status of problem classification in the medical and health field,and provide ideas for improving the performance of medical question answering systems.Method/Process By synthesizing relevant literatures in the field of medical and healthcare problem classification,the study summarizes existing classification systems,datasets,deep learning methods,evaluation criteria and applications.It also analyzes future research directions and core scientific issues in the domain of medical and healthcare problem classification.Result/Conclusion Healthcare problem classification is instrumental in enhancing the understanding of issues,improving system performance,and delivering more efficient healthcare services.It holds significant importance for question-answering systems and services in the medical and healthcare domain.
作者
王娟
侯丽
WANG Juan;HOU Li(Institute of Medical Information,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100020,China)
出处
《医学信息学杂志》
CAS
2023年第12期20-28,共9页
Journal of Medical Informatics
基金
中国医学科学院医学与健康科技创新工程项目(项目编号:2021-I2M-1-001)
医学融合出版知识技术重点实验室。
关键词
问题分类
问答系统
医疗健康
problem classification
question answering system
medical health