摘要
神经系统疾病病情复杂、种类繁多,患者预后相当程度取决于医师的临床经验和诊疗水平。近年随着医疗大数据的指数式增长与统计分析方法的发展,越来越多的研究通过挖掘并分析大数据以揭示疾病发病机制,辅助临床诊断、决策和治疗,有望提高神经系统疾病的诊疗与预后预测能力。本文从结构化数据、影像组学和生物信息数据三方面阐述医疗大数据在神经系统疾病中的应用。
Nervous system diseases are associated with complexity and diversity.As a result,the prognosis of patients deeply depends on physicians'clinical experience and their diagnosis and treatment level.With the exponential growth of medical big data and the development of statistical analysis tools,more researchers discover the pathogenesis of diseases and assist clinical process through the mining of big data,so as to improve the diagnosis,treatment,and prognosis of nervous system diseases.This paper elaborates the application of three kinds of medical big data in nervous system diseases,including structured data,radiomics,and bioinformatics.
作者
冯铭
郑雪晴
王任直
FENG Ming;ZHENG Xue-qing;WANG Ren-zhi(Department of Neurosurgery,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100730,China)
出处
《中国现代神经疾病杂志》
CAS
北大核心
2021年第3期128-131,共4页
Chinese Journal of Contemporary Neurology and Neurosurgery
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:2020-I2M-C&T-B-031)
北京协和医学院教育教学改革项目(项目编号:10023201900107)。
关键词
神经系统疾病
自动数据处理
电子健康病历
计算生物学
综述
Nervous system diseases
Automatic data processing
Electronic health records
Computational biology
Review
