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breast cancer prediction and predicting whether it is benign or malignant.

  • Swetapadma Das
  • Breast cancer happens to women as well as men.The fears and concerns of cancer and its treatment led to the appearance of sinister feelings in the patients and dreaded their lifestyles. Even after prediction of breast cancer ,it is necessary to predict whether the cancer is benign or malignant.

  • The older a woman is, the more likely she is to get breast cancer. Rates of breast cancer are low in women under 40. About 4 percent of women diagnosed with breast cancer in the U.S. are younger than 40 . Rates begin to increase after age 40 and are highest in women over age 70.

  • The older we get, the more likely it is abnormal changes will occur in our cells. When many of these changes occur, cancer can develop.

    DID YOU KNOW?

    In 2019, it's estimated that among U.S. women and men:

    Women

    •  268,600 new cases of invasive breast cancer
    •  41,760 breast cancer deaths

    Men

    • 2,670 new cases of invasive breast cancer
    • 500 breast cancer deaths

    The warning signs of breast cancer are not the same for everyone.

    I had a conversation wid one of my aunt who is going through breast cancer sadly.

    I : what are the problems you are facing ?

    she: I face both medical and psychosocial challenges before, during, and after my cancer treatment. Psychosocial issues are often related to daily family life, finances, relationships, self-esteem.

    I : Do u think , it is necessary to know that after the prediction cancer that it is benign or malignant?

    she: 

    When they told me that I had cancer but no active cancer, I questioned what it meant. It’s a whole new language I had to learn. Things are written in medicalese. Women really need to know a lot more than they do about taking care of themselves, and what should be done. The patients have to take responsibility for themselves.

    Ask for a second opinion. Keep track of everything yourself. The doctor might be more alert knowing that you’re keeping track of your own body too.

    For getting through the statistics of cancer:

    https://www.cancer.gov/about-cancer/understanding/statistics

    for knowing more about breast cancer:

    https://en.wikipedia.org/wiki/Breast_cancer

    there's much evidence for people really suffering from breast cancer :

    https://en.wikipedia.org/wiki/List_of_people_with_breast_cancer

    The best model to be used for diagnosing breast cancer as found in this analysis is the Random Forest model with the top 5 predictors, 'concave points_mean','area_mean','radius_mean','perimeter_mean','concavity_mean'. It gives a prediction accuracy of ~95% and a cross-validation score ~ 93%.

    I will see if I can improve this more

November 9, 2019

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