Review Article
Artificial Neural Networks in Mammography Interpretation and Diagnostic Decision Making
Table 2
Advantages and disadvantages of ANNs.
| Advantage | Disadvantage |
| (i) Easy model building with less formal statistical knowledge required. | (i) Clinical interpretation of model parameters is difficult (black boxes). | (ii) Capable of capturing interactions between predictors. | (ii) Sharing an existing ANN model is difficult. | (iii) Capable of capturing nonlinearities between predictors and outcomes. | (iii) Prone to overfitting due to the complexity of model structure. | (iv) Users can apply multiple different training algorithms | (iv) Confidence intervals of the predicted risks are difficult to obtain. | ā | (v) The model development is empirical. Few guidelines exist to determine the best network structures and training algorithms. |
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