Skip to Main Content
An official website of the United States government
Upcoming Login Change: On or about August 24, CDAS will begin using the NIH Researcher Auth Service (RAS) to manage our existing login options. When logging into CDAS, you will be taken to RAS, where you can select your preferred login provider to access CDAS.

The usage of machine learning algorithms in predicting mortality among cancer patients.

Principal Investigator

Name
Dawid Siwicki

Degrees
B.A.

Institution
University of Warsaw

Position Title
Master's Student

Email
dawid.siwicki@student.uw.edu.pl

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-405

Initial CDAS Request Approval
Apr 23, 2018

Title
The usage of machine learning algorithms in predicting mortality among cancer patients.

Summary
I would like to use data from Participants Questionnaires in my year-end project for Machine Learning course. I would like to compare some machine learning algorithms and methods in effectiveness of predicting mortality cases for cancer patients. I would like to try find determinants of death from data collected by Questionnaires.

Aims

I would like to compare accuracy of some classification methods in predicting mortality of cancer patients. I am going to use logistic regression, support vector machine etc.

Collaborators

There is no collaborators.