Early detection of lung cancer risk using data mining

This article was published in the Asian Pacific Journal of Cancer Prevention [© 2013 Asian Pacific Journal of Cancer Prevention] and the definite version is available at : http://dx.doi.org10.7314/APJCP.2013.14.1.595 The Journal's website is at:http://koreascience.or.kr/article/ArticleFullRecor...

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Những tác giả chính:	Ahmed, Kawsar, Kawsar, Abdullah-Al-, Kawsar, Emran, Emran, Abdullah-Al-, Jesmin, Tasnuba, Mukti, Roushney Fatima, Rahman, Md. Zamilur, Ahmed, Farzana
Tác giả khác:	Department of Mathematics and Natural Sciences, BRAC University
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	© 2013 Asian Pacific Journal of Cancer Prevention 2016
Những chủ đề:	Aprioritid algorithm Bangladesh Data mining Disease diagnosis DT algorithm Pre-processing
Truy cập trực tuyến:	http://hdl.handle.net/10361/7060 http://dx.doi.org10.7314/APJCP.2013.14.1.595

id	10361-7060
record_format	dspace
spelling	10361-70602019-09-30T03:22:02Z Early detection of lung cancer risk using data mining Ahmed, Kawsar Kawsar, Abdullah-Al- Kawsar, Emran Emran, Abdullah-Al- Jesmin, Tasnuba Mukti, Roushney Fatima Rahman, Md. Zamilur Ahmed, Farzana Department of Mathematics and Natural Sciences, BRAC University Aprioritid algorithm Bangladesh Data mining Disease diagnosis DT algorithm Pre-processing This article was published in the Asian Pacific Journal of Cancer Prevention [© 2013 Asian Pacific Journal of Cancer Prevention] and the definite version is available at : http://dx.doi.org10.7314/APJCP.2013.14.1.595 The Journal's website is at:http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=POCPA9_2013_v14n1_595 Background: 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. Materials and Methods: 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. Results: 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. Conclusions: 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. Published 2016-12-01T09:15:49Z 2016-12-01T09:15:49Z 2013 Article Ahmed, K., Al-Emran, A., Jesmin, T., Mukti, R. F., Rahman, M. Z., & Ahmed, F. (2013). Early detection of lung cancer risk using data mining. Asian Pacific Journal of Cancer Prevention, 14(1), 595-598. doi:10.7314/APJCP.2013.14.1.595 15137368 http://hdl.handle.net/10361/7060 http://dx.doi.org10.7314/APJCP.2013.14.1.595 en http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=POCPA9_2013_v14n1_595 application/pdf © 2013 Asian Pacific Journal of Cancer Prevention
institution	Brac University
collection	Institutional Repository
language	English
topic	Aprioritid algorithm Bangladesh Data mining Disease diagnosis DT algorithm Pre-processing
spellingShingle	Aprioritid algorithm Bangladesh Data mining Disease diagnosis DT algorithm Pre-processing Ahmed, Kawsar Kawsar, Abdullah-Al- Kawsar, Emran Emran, Abdullah-Al- Jesmin, Tasnuba Mukti, Roushney Fatima Rahman, Md. Zamilur Ahmed, Farzana Early detection of lung cancer risk using data mining
description	This article was published in the Asian Pacific Journal of Cancer Prevention [© 2013 Asian Pacific Journal of Cancer Prevention] and the definite version is available at : http://dx.doi.org10.7314/APJCP.2013.14.1.595 The Journal's website is at:http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=POCPA9_2013_v14n1_595
author2	Department of Mathematics and Natural Sciences, BRAC University
author_facet	Department of Mathematics and Natural Sciences, BRAC University Ahmed, Kawsar Kawsar, Abdullah-Al- Kawsar, Emran Emran, Abdullah-Al- Jesmin, Tasnuba Mukti, Roushney Fatima Rahman, Md. Zamilur Ahmed, Farzana
format	Article
author	Ahmed, Kawsar Kawsar, Abdullah-Al- Kawsar, Emran Emran, Abdullah-Al- Jesmin, Tasnuba Mukti, Roushney Fatima Rahman, Md. Zamilur Ahmed, Farzana
author_sort	Ahmed, Kawsar
title	Early detection of lung cancer risk using data mining
title_short	Early detection of lung cancer risk using data mining
title_full	Early detection of lung cancer risk using data mining
title_fullStr	Early detection of lung cancer risk using data mining
title_full_unstemmed	Early detection of lung cancer risk using data mining
title_sort	early detection of lung cancer risk using data mining
publisher	© 2013 Asian Pacific Journal of Cancer Prevention
publishDate	2016
url	http://hdl.handle.net/10361/7060 http://dx.doi.org10.7314/APJCP.2013.14.1.595
work_keys_str_mv	AT ahmedkawsar earlydetectionoflungcancerriskusingdatamining AT kawsarabdullahal earlydetectionoflungcancerriskusingdatamining AT kawsaremran earlydetectionoflungcancerriskusingdatamining AT emranabdullahal earlydetectionoflungcancerriskusingdatamining AT jesmintasnuba earlydetectionoflungcancerriskusingdatamining AT muktiroushneyfatima earlydetectionoflungcancerriskusingdatamining AT rahmanmdzamilur earlydetectionoflungcancerriskusingdatamining AT ahmedfarzana earlydetectionoflungcancerriskusingdatamining
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Early detection of lung cancer risk using data mining

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