A Lung Cancer Risk Prediction Model Through bio-Medical Data Using Rule Extraction and CT image abnormality detection
Principal Investigator
Name
Jerry Liu
Degrees
Master of Science
Institution
Prairie View A&M University
Position Title
Graduate Student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-756
Initial CDAS Request Approval
Feb 5, 2021
Title
A Lung Cancer Risk Prediction Model Through bio-Medical Data Using Rule Extraction and CT image abnormality detection
Summary
I'm trying to build two machine learning models. One is for questionnaire analysis prediction of lung cancer risk using bio-medical data like age, cigarette usage, smoking or not, symptoms, and more attributes to predict the risk of having lung cancer or not. Another model will be the image analysis model to detect abnormality section on CT images. Hopefully, it will provide some supporting evidence for the health providers.
Aims
Use questionnaire screening to extract the rules of lung cancer risk.
Using CT image for lung cancer detection using machine learing
Collaborators
NA