Lung Screening Abnormalities
Principal Investigator
Name
Mangayarkarasi R
Degrees
Ph.D
Institution
Vellore Institute of Technology - Vellore
Position Title
Professor
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1780
Initial CDAS Request Approval
Jan 6, 2025
Title
Lung Screening Abnormalities
Summary
Lung diseases and abnormalities remain a significant challenge in global healthcare, necessitating the development of efficient and accurate diagnostic tools. This project proposes a hybrid machine learning model with optimized feature selection to advance state-of-the-art performance. By integrating the merits of various machine learning models, the approach enhances predictive accuracy and reliability. The dataset for this study is derived from the U.S. cohort study PLCO, comprising approximately 155,000 records.
Aims
To identify risk using Machine Learning model on Lung cancer.
Collaborators
Mangayarkarasi R