Combining the Performance Strengths of the Logistic Regression and Neural Network Models: A Medical Outcomes Approach
The assessment of medical outcomes is important in the effort to contain costs, streamline patient management, and codify medical practices. As such, it is necessary to develop predictive models that will make accurate predictions of these outcomes. The neural network methodology has often been show...
Main Authors: | Wun Wong, Peter J. Fos, Frederick E. Petry |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2003-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1100/tsw.2003.35 |
Similar Items
-
Application of logistic regression and artificial neural network on phase unwrapping
by: Sheng-Cheng Cheng, et al.
Published: (2019) -
Predicting company growth using logistic regression and neural networks
by: Marijana Zekić-Sušac, et al.
Published: (2016-12-01) -
Application of Logistic Regression and Neural Network on Urban Travel Behavior
by: Lin, Chun-Hsien, et al.
Published: (2000) -
Country risk analysis: an application of logistic regression and neural networks
by: Ncube, Gugulethu
Published: (2017) -
Enhance the Profitability of Technical Analysis – Artificial Neural Network and Logistic Regression
by: CHAN, SHAN-KAI, et al.
Published: (2019)