Computer-aided diagnosis of pancreatic and lung cancer

dc.contributor.author	Núñez Díaz, A. Álvaro
dc.contributor.author	Lancho Tofé, B. Luis
dc.date	2008-12
dc.date.accessioned	2019-09-19T11:12:47Z
dc.date.available	2019-09-19T11:12:47Z
dc.identifier.issn	1989-1660
dc.identifier.uri	https://reunir.unir.net/handle/123456789/9319
dc.description.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 .	es_ES
dc.language.iso	eng	es_ES
dc.publisher	International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)	es_ES
dc.relation.ispartofseries	;vol. 01, nº 01
dc.relation.uri	https://ijimai.org/journal/node/24	es_ES
dc.rights	openAccess	es_ES
dc.subject	bayesian networks	es_ES
dc.subject	pancreatic cancer	es_ES
dc.subject	lung cancer and computer-aided diagnosis	es_ES
dc.subject	IJIMAI	es_ES
dc.title	Computer-aided diagnosis of pancreatic and lung cancer	es_ES
dc.type	article	es_ES
reunir.tag	~IJIMAI	es_ES

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