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- Title
Survivability prediction of colon cancer patients using neural networks.
- Authors
Al-Bahrani, Reda; Agrawal, Ankit; Choudhary, Alok
- Abstract
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.
- Subjects
ALGORITHMS; CANCER patients; COLON tumors; MEDICAL records; ARTIFICIAL neural networks; RESEARCH funding; SURVIVAL analysis (Biometry); LOGISTIC regression analysis; RECEIVER operating characteristic curves; ELECTRONIC health records; DESCRIPTIVE statistics; DEEP learning; ACQUISITION of data methodology
- Publication
Health Informatics Journal, 2019, Vol 25, Issue 3, p878
- ISSN
1460-4582
- Publication type
Article
- DOI
10.1177/1460458217720395