摘要
本文针对康复理疗问题研究,使用了分类讨论、时间序列预测等方法,建立了二次曲线趋势数学预测模型;再综合运用Excel和Spss软件得到数据拟合曲线以预测疾病的发病趋势,用多元对应方法分析出疾病的主要致病因素,并根据求解的结论,为患者提供可选择的最优传统医学治疗方案。
This paper focuses on the study of rehabilitation therapy. Using the classification discussion, the time series prediction and other methods, the mathematical prediction model of the quadratic curve trend is established. Using software such as Excel and WPS, the data fitting curve is used to predict the disease tendency and to analyze the main factors of disease. And based on the conclusion of the solution, the patients are given the best traditional medical treatment according to the choice.
出处
《生物医学》
2017年第3期64-72,共9页
Hans Journal of Biomedicine
基金
安徽省高等学校省级质量工程重大教学研究项目(2016jyxm0665)。