Research on Intelligent Scheduling Optimization Selection Algorithm for Medical Information
Ming Li, Ruo Hu, Hong Xu, Huimin Zhao, Xueri Li
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.74How to use a DOI?
- Medical Information, Adaptive Scheduling, Intelligent Optimization, Accuracy.
- 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.
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 -