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以医疗健康大数据为切入点,阐述了医疗健康大数据概念、特性及来源,介绍了机器学习及其用于医疗大数据在临床及医生决策中的应用研究现状,分析并探讨了目前机器学习在临床医疗应用中的局限性和面临的挑战,提出了若干建议,以期为医院智能化数据化提供参考。
Abstract：Taking medical and health big data as the breakthrough point,this paper expounds the concept,characteristics and sources of medical big data,introduces the research status of machine learning and its application in clinical and doctor decision-making,analyzes and discusses the limitations and challenges of machine learning in clinical medical application,and puts forward some suggestions,so as to provide the hospital with intelligent data reference resources.To medical health big data as the research object,in this paper,on the basis of the concept and the sources and characteristics,discusses the machine learning and its used in medical data in clinical and decision-making of the doctor,the application of machine learning are analyzed in the clinical medical limitations and challenges,and puts forward some Suggestions,intelligent digital has important significance for promoting hospital.
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基本信息:
DOI：10.13682/j.issn.2095-6533.2020.01.003
中图分类号:R-05;TP181;TP311.13
引用信息:
[1]潘晓英,王佳,刘妮,等.机器学习在医疗大数据中的应用[J],2020,25(01):21-33.DOI:10.13682/j.issn.2095-6533.2020.01.003.