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We investigate the potential of artificial neural networks in diagnosing thyroid diseases. The robustness of neural networks with regard to sampling variations is examined using a cross‐validation method. We illustrate the link between neural networks and traditional Bayesian classifiers....
Persistent link: https://www.econbiz.de/10005716916