Artificial neural networks for cancer research: Outcome prediction

Harry B. Burke*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

66 Scopus citations


The use of artificial neural networks in biological and medical research has increased tremendously in the last few years. Artificial neural networks are being used in cancer research for image processing, the analysis of laboratory data for breast cancer diagnosis, the discovery of chemotherapeutic agents, and for cancer outcome prediction. A neural network generalizes from the input data to patterns inherent in the data, and it uses these patterns to make predictions or to classify. This paper explains how neural networks work, and it shows that a neural network is more accurate at predicting breast cancer patient outcome than the current staging system. © 1994 Wiley‐Liss, Inc.

Original languageEnglish
Pages (from-to)73-79
Number of pages7
JournalSeminars in Surgical Oncology
Issue number1
StatePublished - 1994
Externally publishedYes


  • ROC
  • SEER
  • TNM
  • breast cancer
  • c index
  • outcome
  • prediction
  • staging


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