Computer-aided diagnosis of pancreatic and lung cancer

Author
Keywords
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.
Year of Publication
2008
Journal
International Journal of Interactive Multimedia and Artificial Intelligence
Volume
1
Issue
Experimental Simulations
Number
1
Number of Pages
16-24
Date Published
12/2008
ISSN Number
1989-1660
Citation Key
URL
http://www.ijimai.org/journal/sites/default/files/IJIMAI1-1-3.pdf
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