Use of artificial neural networks in modeling associations of discriminant factors: towards an intelligent selective breast cancer screening

In order to improve the costs/benefits ratio of breast cancer (BC) screenings, the author evaluated the performance of a back-propagation artificial neural network (ANN) to predict an outcome (cancer/not cancer) to be used as classificator. Networks were trained on data from familial history of canc...

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Veröffentlicht in:	Artificial intelligence in medicine 1999-07, Vol.16 (3), p.299-309
1. Verfasser:	Ronco, Alvaro L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Backpropagation Breast cancer Breast Neoplasms - diagnosis Cancer screening Computer simulation Epidemiology Female Humans Mass Screening - methods Neural networks Neural Networks (Computer) Risk assessment Risk factors
Online-Zugang:	Volltext
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