Visualization Techniques in Cancer Level Detection System – Students’ Research in ML and DL at Durham College

Cancer is one of the leading causes of death in the world. To tackle this menace, pathologists need a faster and better way to diagnose their patients. This led the team to work on evaluating different machine learning models to find out which model works best in accurately predicting the level of cancer development in a patient. In the course of the project, we explored different features of our datasets with the help of visualization tools like tableau and python data visualization libraries to enable us to see the relationship between each feature and the level of cancer in a patient. We also, in the end, evaluated the performance of each algorithm using python visualization tools to better understand which algorithms performed the best.

Speaker(s): Rakesh Pattanayak, Chisom Nnabuisi, Dhruv Mistry, Kar Chun Kan, Shanuka Rathnayake

Register: https://events.vtools.ieee.org/m/313212