基于深度学习的智能医疗工程分析与决策研究

IF 0.8 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Bao Juan, Tuo Min, Hou Meng Ting, L. Yu, Wang Qun
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引用次数: 0

摘要

随着医疗数据量的不断增加和复杂信息的高维、多样化,基于人工智能和机器学习为医疗数据的多源、异构、高维、实时、多尺度、动态、不确定提供了新的途径。以医疗健康大数据为驱动,运用深度学习理论和方法,提出了“多模态融合-关联挖掘-分析预测-智能决策”的智能医学分析决策新模式。首先,“基于深度学习的医疗大数据多模态融合方法”研究探索了复杂环境下医疗大数据融合的新方法。二是“基于深度学习的医疗大数据动态变化规律及分析预测方法”研究,探索了复杂环境下医疗大数据融合的新方法。第三,“智能医疗决策方法”研究探索了一种新的智能医疗决策方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Intelligent Medical Engineering Analysis and Decision Based on Deep Learning
With the increasing amount of medical data and the high dimensional and diversified complex information, based on artificial intelligence and machine learning, a new way is provided that is multi-source, heterogeneous, high dimensional, real-time, multi-scale, dynamic, and uncertain. Driven by medical and health big data and using deep learning theories and methods, this paper proposes a new mode of “multi-modal fusion-association mining-analysis and prediction-intelligent decision” for intelligent medicine analysis and decision making. First, research on “multi-modal fusion method of medical big data based on deep learning” explores a new method of medical big data fusion in complex environment. Second, research on “dynamic change rules and analysis and prediction methods of medical big data based on deep learning” explores a new method for medical big data fusion in complex environment. Third, research on “intelligent medicine decision method” explores a new intelligent medicine decision method.
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来源期刊
International Journal of Web Services Research
International Journal of Web Services Research 工程技术-计算机:软件工程
CiteScore
2.40
自引率
0.00%
发文量
19
审稿时长
>12 weeks
期刊介绍: The International Journal of Web Services Research (IJWSR) is the first refereed, international publication featuring the latest research findings and industry solutions involving all aspects of Web services technology. This journal covers advancements, standards, and practices of Web services, as well as identifies emerging research topics and defines the future of Web services on grid computing, multimedia, and communication. IJWSR provides an open, formal publication for high quality articles developed by theoreticians, educators, developers, researchers, and practitioners for those desiring to stay abreast of challenges in Web services technology.
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