Abstract
When we talk about cancer diagnosis the most important thing is early diagnosis to prevent cancer cells from spreading. We may also consider the high cost of diagnostic tests. Our approach seeks to address both problems. It uses a software based on Bayesian networks that simulates the causeeffect relationships and gets the chance of suffering a pancreatic cancer or lung cancer. This software would support doctors and save a lot of time and resources.
Source Publication
International Journal of Interactive Multimedia and Artificial Intelligence
Recommended Citation
Díaz, Álvaro Núñez and Tofé, Luis Lancho
(2008)
"Computer-aided diagnosis of pancreatic and lung cancer,"
International Journal of Interactive Multimedia and Artificial Intelligence: Vol. 1:
Iss.
1, Article 10.
Available at:
https://ijimai.researchcommons.org/ijimai/vol1/iss1/10
