A Deep Learning Algorithm using the PLCO data to estimate cancer risk from multiple cancers

Principal Investigator

Name
Ping Hu

Degrees
ScD

Institution
National Cancer Institute

Position Title
Mathematical Statistician

Email
pingh@mail.nih.gov

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-1142

Initial CDAS Request Approval
Jan 12, 2023

Title
A Deep Learning Algorithm using the PLCO data to estimate cancer risk from multiple cancers

Summary
A Deep Learning Algorithm (DeepLR, Dr. Huang, etc 2019) has been developed using the NLST data to predict lung cancer risk and to optimize the lung cancer screening interval. In this project, we will extend DeepLR to predict cancer risk from multiple cancers. The extended DeepLR will be developed using data from the PLCO.

Aims

The aim of this study is to develop a deep learning approach to predict cancer risk from multiple cancers.

Collaborators

Peng Huang, Johns Hopkins University