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Apply Machine learning approach to predict the Breast Cancer Tumor Type

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dc.contributor.author khan, Tanjed Ahmed
dc.contributor.author Islam, Md. Shahidul
dc.contributor.author Ullah, S.M Aman
dc.date.accessioned 2020-06-16T11:01:32Z
dc.date.available 2020-06-16T11:01:32Z
dc.date.issued 2019-11
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3975
dc.description.abstract Maximum people around the world use mobile phones as well as those in under resourced communities. This availability of the mobile phone creates a huge field of mobile health education technology which can gift a promising mechanism for rising cancer hindrance. Recent years, breast cancer has become one of the leading causes of female death in the over populated countries and not only over populated countries but also around the world. Moreover, the occurrence of breast cancer is increasing in the early age groups in this Asian area compared with the western countries. Hence, it’s high time to raise awareness to prevent this cancer or detect it in the early stage to decrease the female death rate. At present, machine learning is delivering exciting outcomes in the health care sector. If it can be applied to breast cancer detection and if it is possible to publish it via web application and mobile application then the health care sector will go a step further. In order to do so we propose a Web application and Mobile application which will help to predict breast cancer tumor type by using algorithmic result and will also provide suggestion regarding precautions and to enrich awareness. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.relation.ispartofseries ;P15470
dc.subject Machine learning en_US
dc.subject Breast cancer prediction en_US
dc.title Apply Machine learning approach to predict the Breast Cancer Tumor Type en_US
dc.type Other en_US


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