Bmc Med Inform Decis
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Bmc Med Inform Decis · Jan 2005
Comparative StudyComparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data.
In recent years, outcome prediction models using artificial neural network and multivariable logistic regression analysis have been developed in many areas of health care research. Both these methods have advantages and disadvantages. In this study we have compared 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. ⋯ ANN significantly outperformed the logistic models in both fields of discrimination and calibration but lagged behind in accuracy. This study clearly showed 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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Bmc Med Inform Decis · Jan 2005
Information resource preferences by general pediatricians in office settings: a qualitative study.
Information needs and resource preferences of office-based general pediatricians have not been well characterized. ⋯ Content analysis of office-based general pediatricians' responses to clinical vignettes provided a qualitative description of their perceptions of information needs and preferences for information resource for cases in Genetics and Infectious Diseases. This approach may provide complementary information for discovering practitioner's information needs and resource preferences in different contexts.