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

Author:

Juan Bao1,Min Tuo1,Ting Hou Meng1,Yu Li Xi1,Qun Wang1

Affiliation:

1. 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.

Publisher

IGI Global

Subject

Computer Networks and Communications,Information Systems,Software

Reference18 articles.

1. Huang, X. L. (2017). The research on demand analysis and application model of big data in comprehensive hospitals. https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD201801&filename=1017235586.nh

2. Li, P. L. (2019). Research and application of brain multi-modal MRI processing method. https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CDFDLAST2019&filename=1019127852.nh

3. The impact of big data and artificial intelligence on the future medical model.;B. H.Liu;Journal of Life and Environmental Sciences,2018

4. Process optimization and rule mining of medical treatment for burn inpatients based on decision tree.;W. B.Liu;Academic Journal of the Second Military Medical University,2018

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