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题目:: Early detection of lung cancer risk using data mining.
作者:: Ahmed(Kawsar),Emran(Abdullah Al),Jesmin(Tasnuba),Mukti(Roushney Fatima),Rahman(Md Zamilur),Ahmed(Farzana)
状态:: 发布时间2013-03-28 , 更新时间 2013-03-28
期刊:: Asian Pac J Cancer Prev
摘要:: Lung cancer is the leading cause of cancer death worldwide Therefore, identification of genetic as well as environmental factors is very important in developing novel methods of lung cancer prevention. However, this is a multi-layered problem. Therefore a lung cancer risk prediction system is here proposed which is easy, cost effective and time saving.,Initially 400 cancer and non-cancer patients' data were collected from different diagnostic centres, pre-processed and clustered using a K-means clustering algorithm for identifying relevant and non-relevant data. Next significant frequent patterns are discovered using AprioriTid and a decision tree algorithm.,Finally using the significant pattern prediction tools for a lung cancer prediction system were developed. This lung cancer risk prediction system should prove helpful in detection of a person's predisposition for lung cancer.,Most of people of Bangladesh do not even know they have lung cancer and the majority of cases are diagnosed at late stages when cure is impossible. Therefore early prediction of lung cancer should play a pivotal role in the diagnosis process and for an effective preventive strategy.
语言:: eng
DOI:

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