现代电子技术Issue(4)：82-83,2.
基于SPSS时间序列法对甲状腺疾病建模研究
Study on thyroid disease modeling based on SPSS time series
摘要
Abstract
The data of patient medical records of all thyroid diseases in three first class hospitals in different cities in 7 years(2006-2012)were collected and analyzed statistically. A statistic model was established with SPSS time series method. Starting with patient's common non-physiological indexes,such as gender,age,occupation,etc.,the incidence of thyroid disease was studied,the interference factors for thyroid disease were obtained,and the ARIMA model,one of the most effective and most comprehensive statistical methods in time series forecasting, was established. The purpose to prevent and control the dis-ease was achieved.关键词
甲状腺/SPSS时间序列/发病态势/ARIMA模型Key words
thyroid/SPSS time series/incidence of disease/ARIMA model分类
信息技术与安全科学引用本文复制引用
孙源,原搏,原杰..基于SPSS时间序列法对甲状腺疾病建模研究[J].现代电子技术,2014,(4):82-83,2.基金项目
黑龙江省教育厅科学技术研究项目 （）
