SVR Model for Prediction of Incidence Influenza Based on Automated Method

Jia Song

doi:10.4028/www.scientific.net/AMR.926-930.1159

Paper Titles

A Study of Intelligent Decision Supporting System Based on Multi-Agent Exercise Prescription of Psychological Disorder
p.1140

A Study on an Evaluation Method of a Rehabilitation Robot Based on Fuzzy Comprehensive Evaluation
p.1144

The Research and Application of Computer Technology for the Sports Skilled Motion Characteristic Model
p.1148

Medicinal Material Quality Analysis and Evaluation of Paris Plant
p.1152

SVR Model for Prediction of Incidence Influenza Based on Automated Method
p.1159

Research on Application of College Students’ Physical Health Test Data
p.1164

Research on Chinese Population Aging Speed Based on the ARMA Model
p.1168

Research on Countermeasure of Badminton Competition Athletics Rhythm Phenomenon
p.1172

Taekwondo Athletes Physical Fitness Evaluation System Based on Multi-Agent
p.1176

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930SVR Model for Prediction of Incidence Influenza...

SVR Model for Prediction of Incidence Influenza Based on Automated Method

Abstract:

As is a significant public health issue to predict the incidence of influenza, this paper present a supported vector regression (SVR) model based on an automated method which worked as the following steps: firstly, the automated method is used to select the texts which highly related to the influenza, and then the SVR algorithm will find out the nonlinear between each context. According to the result, when assessing by the root mean squared predict error, the mean absolute error and the mean absolute percent error of the whole system, the SVR performed much better than single support vector machine regression prediction. Also, the validity of this method is verified.