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 medic...

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Bibliographic Details
Published in:International journal of web services research 2022-01, Vol.19 (1), p.1-9
Main Authors: Juan, Bao, Min, Tuo, Ting, Hou Meng, Yu, Li Xi, Qun, Wang
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Big Data
Biomedical engineering
Brain research
Clinical medicine
Data integration
Decision analysis
Decision making
Deep learning
Disease prevention
Efficiency
Machine learning
Medical advice systems
Medical diagnosis
Medical imaging equipment
Medical screening
Medicine
Methods
Patient satisfaction
Physicians
R&D
Research & development
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Summary: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.
ISSN:1545-7362
1546-5004
DOI:10.4018/IJWSR.314949