Network or regression-based methods for disease discrimination: a comparison study.

ABSTRACT:

Background

In stark contrast to network-centric view for complex disease, regression-based methods are preferred in disease prediction, especially for epidemiologists and clinical professionals. It remains a controversy whether the network-based methods have advantageous performance than regression-based methods, and to what extent do they outperform.

Methods

Simulations under different scenarios (the input variables are independent or in network relationship) as well as an application were conducted to assess the prediction performance of four typical methods including Bayesian network, neural network, logistic regression and regression splines.

Results

The simulation results reveal that Bayesian network showed a better performance when the variables were in a networ

SUBMITTER: Zhang X 

PROVIDER: S-EPMC4991108 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature