Prediction technology of type II diabetes based on Markov chain

Sen Lin Luo, Wei Dong Guo*, Ji Zhang, Feng Guo, Yan Ying Chen, Long Fei Han, Song Jing Chen

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

Diabetes is on the rise worldwide. Diabetes and its associated complications endanger the life of a large number of populations. Therefore, it is critical to predict and prevent the high incidence rate of diabetes. This paper proposes a method of long-term prediction of type II diabetes incidence rate based on the Markov model. This method applies the naive Bayes arithmetic to calculate the probability vector of risk levels, and establishes the predicting model with selected property subsets of GLU, BMI, CHOL, TG, WAIST, SEX, DME and AGE. Compared with the predicted results obtained by using Archimedes model, the proposed method can predict long-term incidence rate of diabetes. The model recommended in this paper is proved to be simple and accurate for predicting the long-term incidence rate of type II diabetes.

源语言英语
页(从-至)1414-1418
页数5
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
31
12
出版状态已出版 - 12月 2011

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