DSpace Repository

Applying ML Algorithms for Predicting Breast Cancer

Show simple item record

dc.contributor.author Mim, Saifa Sabrina
dc.date.accessioned 2023-03-04T03:29:21Z
dc.date.available 2023-03-04T03:29:21Z
dc.date.issued 23-01-18
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/9785
dc.description.abstract Cancer is, without a doubt, one of the worst illnesses in human history. Data from throughout the globe shows that we now face a number of serious health challenges. There is a significant risk of fatalities among cancer patients, and this is especially true when we examine instances of people with more than one kind of the disease. These symptoms are indicative of an early stage of cancer and the patient is currently at that stage. If a breast cancer tumor can be found at an early stage and its control functions can be suppressed to prevent it from growing or spreading to other organs, the survival rate for people with breast cancer may be increased. A better prognosis is possible. Moreover, if we consider the progression of cancer through time, we can observe that breast cancer is now one of the most prevalent forms of the disease. If we do our research, we'll find that there are many different kinds of data about breast cancer. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Algorithms en_US
dc.subject Cancer patients en_US
dc.subject Breast cancer en_US
dc.subject Diseases en_US
dc.title Applying ML Algorithms for Predicting Breast Cancer en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account

Statistics