DocumentCode :
3570824
Title :
Research on the Forecasting Model for Hypertension Drug Efficacy Based on Medical Data
Author :
Cao Jie ; Xie Hongwei ; An Jiancheng ; Cao Xiaofeng
Author_Institution :
Coll. of Comput. Sci. & Technol., Taiyuan Univ. of Technol., Taiyuan, China
fYear :
2014
Firstpage :
336
Lastpage :
342
Abstract :
Hypertension is a common disease endangering human health, and every year the number of cases increases at a speed of ten millions. So far there are about 230 million hypertension patients in China, and the long-term drug treatment for hypertension patients is an effective measure to control blood pressure. In this paper, based on the evaluation period of patients with Medication Possession Ratio (MPR) and blood pressure analysis, the beta distribution model which is used to find the relationship between them is established. Then genetic algorithms (GA) and cross validation are carried out on the model and we make comparative analysis with linear distribution model. The experimental results show that the beta distribution model can well forecast the drug efficacy of patients. Only through long-term drug therapy, can the blood pressure be effectively controlled.
Keywords :
blood pressure measurement; diseases; drug delivery systems; genetic algorithms; beta distribution model; blood pressure analysis; comparative analysis; forecasting model; genetic algorithms; hypertension drug efficacy; linear distribution model; long-term drug therapy; medical data; medication possession ratio; patient evaluation period; Biomedical monitoring; Blood pressure; Data models; Diseases; Drugs; Genetic algorithms; Hypertension; Hypertension; Beta distribution model; Genetic algorithm; Cross-validation; Fuzzy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Ad-hoc and Sensor Networks (MSN), 2014 10th International Conference on
Type :
conf
DOI :
10.1109/MSN.2014.57
Filename :
7051790
Link To Document :
بازگشت