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Predicting prostate biopsy outcome: artificial neural networks and polychotomous regression are equivalent models

✍ Scribed by Nathan Lawrentschuk; Gina Lockwood; Peter Davies; Andy Evans; Joan Sweet; Ants Toi; Neil E. Fleshner

Publisher: Springer Netherlands
Year: 2010
Tongue: English
Weight: 191 KB
Volume: 43
Category: Article
ISSN: 0301-1623
DOI: 10.1007/s11255-010-9750-7

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## Abstract A form of sensitivity analysis is described that illustrates the effects that inputs have on outputs of statistical models. The strength and sign of relationships, the types of nonlinearity, and the presence of interactions between inputs can be diagnosed using this technique. Intended