A risk assessment model for type 2 diabetes in Chinese.

ABSTRACT:

Aims

To develop a risk assessment model for persons at risk from type 2 diabetes in Chinese.

Materials and methods

The model was generated from the cross-sectional data of 16246 persons aged from 20 years old and over. C4.5 algorithm and multivariate logistic regression were used for variable selection. Relative risk value combined with expert decision constructed a comprehensive risk assessment for evaluating the individual risk category. The validity of the model was tested by cross validation and a survey performed six years later with some participants.

Results

Nine variables were selected as risk variables. A mathematical model was established to calculate the average probability of diabetes in each cluster's group divided by sex and age. A series of criteria com

SUBMITTER: Luo S 

PROVIDER: S-EPMC4125170 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature