Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | ESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks |
| Pages | 103-108 |
| 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
| Conference | 13th European Symposium on Artificial Neural Networks, ESANN 2005 |
|---|---|
| Country/Territory | Belgium |
| City | Bruges |
| Period | 27/04/05 → 29/04/05 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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