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
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