Computer-aided diagnosis of pancreatic and lung cancer

dc.creatorNúñez Díaz, A. Álvaro
dc.creatorLancho Tofé, B. Luis
dc.date.accessioned2019-09-19T11:12:47Z
dc.date.accessioned2023-03-07T19:24:30Z
dc.date.available2019-09-19T11:12:47Z
dc.date.available2023-03-07T19:24:30Z
dc.date.created2019-09-19T11:12:47Z
dc.identifier1989-1660
dc.identifierhttps://reunir.unir.net/handle/123456789/9319
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5903706
dc.description.abstractWhen 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 .
dc.languageeng
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
dc.relation;vol. 01, nº 01
dc.relationhttps://ijimai.org/journal/node/24
dc.rightsopenAccess
dc.subjectbayesian networks
dc.subjectpancreatic cancer
dc.subjectlung cancer and computer-aided diagnosis
dc.subjectIJIMAI
dc.titleComputer-aided diagnosis of pancreatic and lung cancer
dc.typearticle


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