Apply Machine learning approach to predict the Breast Cancer Tumor Type

dc.contributor.authorkhan, Tanjed Ahmed
dc.contributor.authorIslam, Md. Shahidul
dc.contributor.authorUllah, S.M Aman
dc.date.accessioned2020-06-16T11:01:32Z
dc.date.available2020-06-16T11:01:32Z
dc.date.issued2019-11
dc.description.abstractMaximum 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3975
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3975
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectMachine learning
dc.subjectBreast cancer prediction
dc.titleApply Machine learning approach to predict the Breast Cancer Tumor Type
dc.typeOther

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