Using Bayesian Network Inference to Modeling Lung Cancer Diagnosis

Elamin, Yousra ElfatihYousif Mohammed; Supervisor - Eltahir Mohammed Houssien

dc.contributor.author	Elamin, Yousra ElfatihYousif Mohammed
dc.contributor.author	Supervisor - Eltahir Mohammed Houssien
dc.date.accessioned	2014-12-17T07:52:43Z
dc.date.available	2014-12-17T07:52:43Z
dc.date.issued	2014-05-20
dc.identifier.citation	Elamin,Yousra ElfatihYousif Mohammed.Using Bayesian Network Inference to Modeling Lung Cancer Diagnosis/Yousra ElfatihYousifM.Elamin;Eltahir Mohammed Houssien.-khartoum:Sudan University of Science and Technology,College of Engineering,2014.-57p:ill;28cm.-M.Sc.	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/8990
dc.description	thesis	en_US
dc.description.abstract	This study subjective to deal with probabilistic inference of lung cancer diagnosis involving features that are not directly related, and for which the conditional probability cannot be readily computed using a simple application of the Bayes' theorem that illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl's message-passing algorithm to model the diagnostic of lung cancer. The model of diagnosis examined over 200 patients and the results were been satisfied.	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	Biomedical Engineering	en_US
dc.subject	Bayesian Network	en_US
dc.subject	Inference to Modeling Lung	en_US
dc.subject	Cancer Diagnosis	en_US
dc.title	Using Bayesian Network Inference to Modeling Lung Cancer Diagnosis	en_US
dc.type	Thesis	en_US