Predictive Modeling Versus Regression

Predictive Modeling Versus Regression

Author: 
Cerrito, Patricia
Place: 
Hershey, PA
Publisher: 
IGI Global
Date published: 
2009
Record type: 
Editor: 
Cerrito, Patricia
Source: 
Text Mining Techniques for Healthcare Provider Quality Determination
Abstract: 

Predictive modeling includes regression, both logistic and linear, depending upon the type of outcome variable. It can also include the generalized linear model. However, there are other types of models also available, including decision trees and artificial neural networks under the general term of predictive modeling. Predictive modeling includes nearest neighbor discriminant analysis, also known as memory based reasoning. These other models are nonparametric and do not require that you know the probability distribution of the underlying patient population. Therefore, they are much more flexible when used to examine patient outcomes. Because predictive modeling uses regression in addition to these other models, the end results will improve upon those found using just regression by itself.

Series: 
Advances in Data Mining and Database Management

CITATION: Cerrito, Patricia. Predictive Modeling Versus Regression edited by Cerrito, Patricia . Hershey, PA : IGI Global , 2009. Text Mining Techniques for Healthcare Provider Quality Determination - Available at: https://library.au.int/predictive-modeling-versus-regression