Our Mentor, Mustapha Diyoal Haqq Has Created an AI System to Predict and Diagnose Breast Cancer

Tue Oct 09 2018

Our Mentor, Mustapha Diyoal Haqq Has Created an AI System to Predict and Diagnose Breast Cancer

By Tina Appiah

Mustapha Diyaol Haqq is a Ghanaian high school student who created a system that uses predictive analytics model to predict breast cancer. He is also a Content Developer, Code Instructor and Volunteer here at Ghana Code Club where he teaches and inspire kids to code.

The Machine Learning/Artificial Intelligence system is such that, given breast cancer results from breast fine needle aspiration (FNA) test (is a quick and simple procedure to perform, which removes some fluid or cells from a breast lesion or cyst (a lump, sore or swelling) with a fine needle similar to a blood sample needle), the model can classify a breast cancer tumor using two training classification:

1= Malignant (Cancerous) – Present
0= Benign (Not Cancerous) –Absent

“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.”