Hierarchical prediction method of II type diabetes mellitus incidence probability

Abstract

The invention relates to a hierarchical prediction method of the II type diabetes mellitus incidence probability and belongs to the technical field of biological information processing. According to the method, firstly, risk grades of II type diabetes mellitus groups are judged, then, a package method is adopted for carrying out attribute selection for the groups in different risk grades, and the key incidence risk attribute is selected; next, a naive bayesian algorithm is utilized for calculating the individual initial incidence probability; and the individual initial incidence probability and a single step transfer matrix are used to build a Markov chain, so a II type diabetes mellitus incidence probability prediction system is built by aiming at the groups in different risk grades. Compared with the prior art, the hierarchical prediction method has the advantages that the prediction accuracy of the II type diabetes mellitus incidence probability is further improved, meanwhile, prediction models corresponding to the risk grade can be selected according to different individual input data, the incidence probability in many years is predicated, and the processing speed is high. The goals of reducing (or delaying) the incidence of the II type diabetes mellitus can be reached through finding the II type diabetes mellitus early, taking the II type diabetes mellitus into account early and intervene in the II type diabetes mellitus in advance.

Description

Technical field [0001] The invention relates to a layered prediction method for the incidence probability of type II diabetes, which belongs to the technical field of biological information processing. Background technique [0002] Type II diabetes is a clinical syndrome caused by the long-term interaction of genetic factors and environmental factors, which can lead to multiple organ complications such as heart, cerebrovascular, renal function, eyes and lower limbs, and has a high disability rate, even many in Complications occurred before the diagnosis of diabetes. Therefore, the key to the control of type II diabetes is prevention, that is, interventions such as lifestyle and diet before the onset of diabetes to avoid or delay the occurrence of diabetes are also the most effective and economical method for controlling type II diabetes. [0003] The stratified prediction of the incidence of type II diabetes needs to solve two basic problems: 1. How to extract the key attributes c...

AI Technical Summary

Problems solved by technology

[0027] The purpose of the present invention is to solve the problem of predicting the incidence probability of type II diabetes in individuals and groups after N years, and propose a hierarchical prediction method for the incidence probability of type II diabetes based on the Markov chain

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