文章基本信息

标题：Pulmonary Disease Diagnosis Using Bayesian Belief Networks: a Conceptual Framework
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作者：Nidhi ; AP Gurpinder Kaur
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：Considerable population of the world does not have access to even bare minimum healthcare facilities. Majority of these are not able to avail these facilities because of lack of resources/funds, resultantly they suffer. Irony however is that most of the diseases are curable provided diagnosis and treatment is initiated at right time. Information Technology in general and predictive models in particular is being used to facilitate the physicians in diagnosis of diseases. Researchers have used Bayesian Belief Networks in medicine for (i) Diagnosis of various diseases like ovarian cancer [16], breast cancer [17] (ii) analysis of f-MRI [15] (iii) analysis of mammography [19] and (iv) Study of mutations. In the present study attempt is made to develop a conceptual framework for pulmonary disease diagnosis
关键词：Bayesian Networks; Pulmonary Disease; Diagnosis; Predictive model