Data mining for NLST
Principal Investigator
Name
Rong Chen
Degrees
PhD
Institution
University of Maryland, Baltimore
Position Title
Assistant Professor
Email
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