An internet/web based artificial neural network has been developed for use by practicing clinical oncologists and medical researchers as part of a programme to aid decision making and eventually, the management and treatment of individual patients with colorectal cancer. We have configured and implemented a Partial Likelihood Artificial Neural Network (PLANN) and trained it to predict cancer related survival in patients with confirmed colorectal cancer using a database provided by the Clinical Resource and Audit Group (CRAG) in Scotland. The reliability of the trained PLANN was evaluated against Kaplan- Meier (KM) actual survival plots and shows close agreement with them.
|Title of host publication||ESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks|
|Number of pages||6|
|Publication status||Published - 2007|
|Event||13th European Symposium on Artificial Neural Networks, ESANN 2005 - Bruges, Belgium|
Duration: 27 Apr 2005 → 29 Apr 2005
|Conference||13th European Symposium on Artificial Neural Networks, ESANN 2005|
|Period||27/04/05 → 29/04/05|