Survey of Breast Cancer Detection Using Machine Learning Techniques in Big Data

Survey of Breast Cancer Detection Using Machine Learning Techniques in Big Data

Madhuri Gupta, Bharat Gupta
Copyright: © 2019 |Pages: 13
DOI: 10.4018/JCIT.2019070106
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Abstract

Cancer is a disease in which cells in body grow and divide beyond the control. Breast cancer is the second most common disease after lung cancer in women. Incredible advances in health sciences and biotechnology have prompted a huge amount of gene expression and clinical data. Machine learning techniques are improving the prior detection of breast cancer from this data. The research work carried out focuses on the application of machine learning methods, data analytic techniques, tools, and frameworks in the field of breast cancer research with respect to cancer survivability, cancer recurrence, cancer prediction and detection. Some of the widely used machine learning techniques used for detection of breast cancer are support vector machine and artificial neural network. Apache Spark data processing engine is found to be compatible with most of the machine learning frameworks.
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2. Breast Cancer

Cancer is a disease that causes cells in the body to grow and change uncontrollably. Breast cancer is one of them (Breast State, 2017). Majority of breast cancer cases begin in breast tissues which are made up of lobules (glands), and ducts. The remaining portion of breast is made up of lymphatic and fatty tissues. Most of the time, breast cancer is detected during breast screening or after a patient notices a lump. These breast lumps can be benign (non-cancerous) and malignant (cancerous). Breast cancer can arise in any area of the breast, the lobules, the ducts and sometimes, the tissue in between. This section deals with different types and stages of breast cancer (Breast cancer Symptoms, 2017).

Types of Breast Cancer

  • 1.

    Non-invasive: Cancer in duct and lobules in breast, they do not spread in normal tissue within breast. It is also called pre-cancers or carcinoma in situ (CIS).

  • 2.

    Invasive: Cancer spread in normal tissue of breast. Most breast lumps are invasive.

  • 3.

    Multifocal: Original tumor divides itself, but remains in the same section of the breast.

  • 4.

    Multicentric: All the tumors arise independently in different region of the breast.

  • 5.

    Recurrent: Cancer that arise again in the same or opposite breast after a period of time when the cancer couldn't be detected.

  • 6.

    Metastatic: Cancer spread to other portions of body. It is advanced stage cancer.

  • 7.

    Paget's disease: In this disease, cancer cells collect around the nipple. This type of cancer, first affects the ducts of the nipple, and then spreads to the nipple.

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