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Early Prevention and Detection of Cancer Risk for Low Income Country using Data Mining Technology: Bangladesh Perspective

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dc.contributor.author Islam, Md Shariful
dc.contributor.author Akhter, Sharmin
dc.contributor.author Salahuddin, Md.
dc.contributor.author Sah, Jay Prakash
dc.contributor.author Rahman, Md Ramim Tanver
dc.contributor.author Asaduzzaman, Sayed
dc.contributor.author Ahmed, Kawsar
dc.contributor.author Mohiuddin, AKM
dc.contributor.author Shibly, Abu Zaffar
dc.date.accessioned 2018-08-30T04:31:02Z
dc.date.accessioned 2019-05-27T09:56:59Z
dc.date.available 2018-08-30T04:31:02Z
dc.date.available 2019-05-27T09:56:59Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/20.500.11948/2990
dc.description.abstract Dominant population of the world including Bangladesh is suffering from skin, lung, cervical and ovarian cancer because of being unconsciousness about cancer as well as their risk factors. Many of them are illiterate and poor. They cannot go to doctor and do must outdoor activities due to lack of money. Most of them do not even know they have skin cancer. So the ability to predict such cancer with minimum cost plays a pivotal role in the diagnosis process. Therefore use of new information technology data mining and risk prediction systems for cancer research can be more effective for early detection and awareness for future possible chemotherapeutic treatment. Full Text Link: http://doi.org/10.4172/2168-9652.1000e150 en_US
dc.language.iso en en_US
dc.publisher Semantic Scholar en_US
dc.subject Cancer en_US
dc.subject Low Income Country en_US
dc.subject Data Mining en_US
dc.subject Bangladesh en_US
dc.subject Early Prevention en_US
dc.title Early Prevention and Detection of Cancer Risk for Low Income Country using Data Mining Technology: Bangladesh Perspective en_US
dc.type Other en_US


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