1. Prediction Algorithm for the Capability of Health Service Support Based on Support Vector Machine
- Author
-
Wen-Xiang Xia, Wen-Ming Zhou, Yong-Yue Fan, and Chun-Rong Zhang
- Subjects
Support vector machine ,Health services ,Structured support vector machine ,business.industry ,Generalization ,Computer science ,Key (cryptography) ,Artificial intelligence ,business ,Machine learning ,computer.software_genre ,Algorithm ,computer - 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.
- Published
- 2015