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
jliu2@student.pvamu.edu

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