Breast cancer is cancer that forms in the cells of the breasts and is the most common cancer diagnosed in women in the United States, after skin cancer. Breast cancer can occur in both men and women, but it’s more common in women.
Substantial support for breast cancer awareness and research funding has helped create advances in the diagnosis and treatment of breast cancer, and survival rates have increased. The number of deaths associated with this disease is steadily declining, largely due to earlier detection, a better understanding of the disease, and a new personalized approach to treatment.
Tests and procedures used to diagnose breast cancer include:
- Breast exam: your doctor will check both of your breasts and lymph nodes in your armpit, for any lumps or other abnormalities.
- Mammogram: an X-ray of the breast.
- Breast ultrasound: Uses sound waves to produce images of structures deep within the body, and may be used to determine whether a new breast lump is a solid mass or a fluid-filled cyst.
- Removing a sample of breast cells for testing (biopsy): this is the only definitive way to make a diagnosis of breast cancer.
- Breast magnetic resonance imaging (MRI): an MRI machine uses a magnet and radio waves to create pictures of the interior of your breast.
- Other tests and procedures may also be used depending on your situation.
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A wonderful Ghanaian Senior High School student has broken the mold by productively creating a system that uses predictive analytics model to predict breast cancer.
The student whose name is Mustapha Diyaol Haqq has been working on an artificial intelligence model that can diagnose and make predictions on breast cancer.
The boy is also a content developer, code instructor and volunteer at Ghana Code Club, and has proven in all ways to be an intelligent student who is intent on surpassing all expectations.
Mustapha who is obsessive with solving practical problems has created a hypothetical algorithm that makes it easier for women to quickly detect breast cancer.
He works as a coding instructor and mentor at Ghana Code Club, and has taught himself how to code. He has also written his first research paper on Using Predictive analytics to diagnose breast cancer.
The Machine Artificial Intelligence system uses two major classifications; the malignant (cancerous) and benign (not cancerous) forms, to classify a breast cancer tumor.
The aim is to classify whether breast cancer is benign or malignant and predict the recurrence and non-recurrence of malignant cases after a certain period.
To achieve this he used machine learning classification methods to fit a function that can predict the discrete class of new input.
He has shown it is possible to predict and diagnose Breast Cancer with Machine Learning/ Artificial Intelligence, and he is confident that, with larger data of Ghanaians, models could be developed with higher accuracy scores that could be used in the real world by doctors to diagnose breast cancer efficiently, with ease and a higher accuracy.
The model has been tested using the Breast Cancer database available on the machine learning repository maintained by the University of California in the USA, however, the result of the testing is yet to be made known.