Use a support vector machine to predict on breast cancer

Breast cancer is a disease where abnormal cells in the breast grow uncontrollably, forming a tumor. It often begins in the milk ducts or lobules of the breast. If untreated, these cancerous cells can spread to nearby tissues or other parts of the body, a process known as metastasis.

It’s the most common cancer in women globally, though men can also develop it. Risk factors include age, genetics (like BRCA mutations), hormonal changes, obesity, and lifestyle factors such as alcohol consumption.

Symptoms might include a lump in the breast, changes in breast shape or size, nipple discharge, or skin changes like dimpling. Early detection through screenings like mammograms is crucial for effective treatment.

Treatment options vary depending on the type and stage of cancer but often include surgery, radiation, chemotherapy, hormone therapy, or targeted drugs like capivasertib, which has shown promise in slowing the progression of advanced breast cancer.

Breast cancer is the fourth most common cause of death in the UK, accounting for 7% of all cancer deaths. In females, breast cancer is the second most common cause of cancer death, amounting to 15% of all female cancer deaths. Overall, the five year survival rate of breast cancer is 91.2% and the ten year survival rate is 84%.