A neural predictor for recurrence of breast cancer

A neural predictor for recurrence of breast cancer

This paper describes the application of a neural network model (SOC: Self-Organizing Classifier) to the problem of classifying the time of recurrence of breast cancer. Differently from other neural models, SOC shows good convergence and generalization abilities even in the case of a small data set,...

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Hauptverfasser: Sanguineti, V., Schenone, A., Morasso, P., Andreucci, L., Margallo, E., Margiocco, M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biological system modeling
DNA
Presses
System-on-a-chip
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Beschreibung
Zusammenfassung:This paper describes the application of a neural network model (SOC: Self-Organizing Classifier) to the problem of classifying the time of recurrence of breast cancer. Differently from other neural models, SOC shows good convergence and generalization abilities even in the case of a small data set, thus being particularly suitable for medical applications.
DOI:10.1109/IEMBS.1992.5761226