Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Research on Intelligent Scheduling Optimization Selection Algorithm for Medical Information

Authors
Ming Li, Ruo Hu, Hong Xu, Huimin Zhao, Xueri Li
Corresponding Author
Ruo Hu
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.74How to use a DOI?
Keywords
Medical Information, Adaptive Scheduling, Intelligent Optimization, Accuracy.
Abstract
Aiming at the problems of asymmetric information and long delay time and excessive use of network traffic and inaccurate recommendation in the traditional medical information recommendation algorithm, the improved adaptive scheduling algorithm and intelligent optimization recommendation algorithm are combined, it can completely solve the problems of time, traffic occupancy, stability and accuracy of medical information push. In this paper, an improved adaptive scheduling algorithm is proposed to solve the problems of time occupancy, traffic flow and connection stability of medical information recommendation. The proposed intelligent optimization recommendation algorithm solves the accuracy problem of medical information recommendation. Experimental results show that the proposed algorithm has the advantages of short delay time, low flow occupation, stable connection and high accuracy of push.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.74How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ming Li
AU  - Ruo Hu
AU  - Hong Xu
AU  - Huimin Zhao
AU  - Xueri Li
PY  - 2019/04
DA  - 2019/04
TI  - Research on Intelligent Scheduling Optimization Selection Algorithm for Medical Information
PB  - Atlantis Press
SP  - 453
EP  - 459
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.74
DO  - https://doi.org/10.2991/icmeit-19.2019.74
ID  - Li2019/04
ER  -