Prediction Algorithm for the Capability of Health Service Support Based on Support Vector Machine

DOI

10.2991/isci-15.2015.70How to use a DOI?

Keywords

Support Vector Machine (SVM); Health Service Support; Pattern Classification; Prediction.

Abstract

The health service support is very important for maintaining and enforcing effective military personal power to consolidate and improve battle effectiveness. Key links and main influencing factors of the health service support are analyzed. The index system of efficiency evaluation is presented. Due to the merits of the effective non-line method established on statistics and characteristics of generalization for support vector machine (SVM), propose a prediction algorithm for the capability of health service support based on it. The logistics command decision and system optimum design of the health service support are strongly supported by the prediction algorithm.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wen-Ming Zhou
AU  - Yong-Yue Fan
AU  - Wen-Xiang Xia
AU  - Chun-Rong Zhang
PY  - 2015/01
DA  - 2015/01
TI  - Prediction Algorithm for the Capability of Health Service Support Based on Support Vector Machine
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 523
EP  - 531
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.70
DO  - 10.2991/isci-15.2015.70
ID  - Zhou2015/01
ER  -