Survivability prediction of colon cancer patients using neural networks

Reda Al-Bahrani, Ankit Agrawal, Alok Choudhary

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


We utilize deep neural networks to develop prediction models for patient survival and conditional survival of colon cancer. Our models are trained and validated on data obtained from the Surveillance, Epidemiology, and End Results Program. We provide an online outcome calculator for 1, 2, and 5 years survival periods. We experimented with multiple neural network structures and found that a network with five hidden layers produces the best results for these data. Moreover, the online outcome calculator provides conditional survival of 1, 2, and 5 years after surviving the mentioned survival periods. In this article, we report an approximate 0.87 area under the receiver operating characteristic curve measurements, higher than the 0.85 reported by Stojadinovic et al.

Original languageEnglish (US)
Pages (from-to)878-891
Number of pages14
JournalHealth Informatics Journal
Issue number3
StatePublished - Sep 1 2019


  • and End Results
  • classification
  • colon cancer
  • Epidemiology
  • outcome calculator
  • Surveillance

ASJC Scopus subject areas

  • Health Informatics


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