Prediction of Colorectal Cancer Using Support Vector Machine Algorithm

Principal Investigator

Name
Bawer Berwary

Degrees
BSc Computer Science Department

Institution
Van Yuzuncu Yil University

Position Title
Duhok/Iraq

Email
bawereberwary@gmail.com

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-445

Initial CDAS Request Approval
Jan 17, 2019

Title
Prediction of Colorectal Cancer Using Support Vector Machine Algorithm

Summary
This project is the project of MSc degree in Electric and Electronical Engineering/Van Yuzuncu Yil University/Turkey, the project is for the prediction of colorectal cancer by using datasets about patients lifestyle, diet and other information, and the data will be classified by Support Vector Machine SVM algorithm, and after training on the datasets we will be able to add new patient information to predict his situation.

Aims

Make an easy way to know if he was predicted to have colorectal cancer.
The prediction of colorectal cancer to control it at early time.

Collaborators

Dr. Ridvan Saracoglu