Data mining for NLST

Principal Investigator

Name
Rong Chen

Degrees
PhD

Institution
University of Maryland, Baltimore

Position Title
Assistant Professor

Email
rchen@umm.edu

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-211

Initial CDAS Request Approval
Apr 19, 2016

Title
Data mining for NLST

Summary
In this project, we will use machine learning algorithms to analyze the cancer datasets, and create descriptive and predictive models. This may lead to new cancer biomarkers which can be used for personalized medicine. Our hypothesis is that machine learning is able to identify cancer biomarkers for precision medicine. Our lab have developed novel machine learning methods to analyze high-dimensional heterogeneous data. We will apply these algorithms to the cancer dataset; and compare them with standard machine learning methods.

Aims

Our lab have developed novel machine learning methods to analyze high-dimensional heterogeneous data. We will apply these algorithms to the cancer dataset; and compare them with standard machine learning methods.

Collaborators

Erika Nixon, University of Maryland School of Medicine, enixon.umm@gmail.com
Edward Herskovits, University of Maryland School of Medicine, ehh@ieee.org