A high school student in Ghana has successfully created a system that uses a predictive analytic model to detect breast cancer. Mustapha Diyaol Haqq is studying in high school at IT Ahmadiyya Kumasi and is working on an artificial intelligence model to diagnose and predict breast cancer.
The teenager is also a Content Developer, Code Instructor and Volunteer at Ghana Code Club. “I work as a code instructor and mentor at Ghana Code Club. I taught myself how to code and built an. I have also written my first research paper on Using Predictive analytics to diagnose breast cancer,” he said.
The Machine Learning/Artificial Intelligence system uses two major classifications – namely the malignant (cancerous) and benign (not cancerous) to classify a breast cancer tumor.
“The goal is to classify whether the breast cancer is benign or malignant and predict the recurrence and non-recurrence of malignant cases after a certain period.
“To achieve this we used machine learning classification methods to fit a function that can predict the discrete class of new input,” Mustapha explained.
“We’ve shown it is possible to predict and diagnose Breast Cancer with Machine Learning/Artificial Intelligence. We are confident 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,” he added.
The model has been tested using the Breast Cancer datasets available on the machine learning repository maintained by the University of California, Irvine.