Comparison of Artificial Neural Network and Logistic Regression Models for Prediction of Mortality in Head Trauma Based on Initial Clinical Data
- Topics:
- Healthcare Services
- Tags:
- BioMed Central,
- Human Resources,
- Model,
- Network,
- Neural Network,
- Performance Management,
- Trauma,
- Workforce Management
- Source:
- BioMed Central
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Overview: The outcome prediction models using Artificial Neural Network (ANN) and multivariable logistic regression analysis have been developed in many areas of health care research. Both these methods have advantages and disadvantages. This paper talks about a study which compares the performance of artificial neural network and multivariable logistic regression models, in prediction of outcomes in head trauma and studied the reproducibility of the findings. This study clearly shows that any single comparison between these two models might not reliably represent the true end results. External validation of the designed models, using larger databases with different rates of outcomes is necessary to get an accurate measure of performance outside the development population.
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Format: PDF | Size: 380KB | Date: Feb 2005 | Pages: 8
