计算机工程与应用2019，Vol.55Issue(19)：1-11,11.DOI:10.3778/j.issn.1002-8331.1903-0485
基于机器学习的医疗决策支持系统综述
Survey on Medical Decision Support Systems Based on Machine Learning
摘要
Abstract
Using the massive clinical data in the field of health care to support the decision making of auxiliary medicine, is the core technology and an inevitable development trend of intelligent medicine. Medical decision support mainly includes disease risk prediction and intelligent diagnosis. Based on clinical accumulation and real-time acquisition of multiple data sources, it realizes classification of patients’disease types or prediction of disease risks through multiple machine learning algorithms. Based on the concept and method framework of medical decision support, this paper summarizes the current machine learning diagnosis and prediction methods according to different disease types, introduces the characteristics and differences of these methods, and analyzes the existing challenges and future development.关键词
医疗决策支持/机器学习/疾病智能诊断/疾病风险预测Key words
medical decision support/machine learning/intelligent diagnosis of disease/disease risk prediction分类
信息技术与安全科学引用本文复制引用
梁书彤,郭茂祖,赵玲玲..基于机器学习的医疗决策支持系统综述[J].计算机工程与应用,2019,55(19):1-11,11.基金项目
国家自然科学基金(No.61871020,No.61305013) （No.61871020,No.61305013）
北京市教委科技计划重点项目(No.KZ201810016019) （No.KZ201810016019）
北京市属高校高水平创新团队建设计划项目(No.IDHT20190506). （No.IDHT20190506）
