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  • 标题:Pulmonary Disease Diagnosis Using Bayesian Belief Networks: a Conceptual Framework
  • 本地全文:下载
  • 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
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