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Research on Intelligent Medical Engineering Analysis and Decision Based on Deep Learning

Author

Listed:
  • Bao Juan

    (Hubei University of Medicine, China)

  • Tuo Min

    (Hubei University of Medicine, China)

  • Hou Meng Ting

    (Hubei University of Medicine, China)

  • Li Xi Yu

    (Hubei University of Medicine, China)

  • Wang Qun

    (Hubei University of Medicine, China)

Abstract

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.

Suggested Citation

  • Bao Juan & Tuo Min & Hou Meng Ting & Li Xi Yu & Wang Qun, 2022. "Research on Intelligent Medical Engineering Analysis and Decision Based on Deep Learning," International Journal of Web Services Research (IJWSR), IGI Global, vol. 19(1), pages 1-9, January.
  • Handle: RePEc:igg:jwsr00:v:19:y:2022:i:1:p:1-9
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