Clinical Lung Cancer Screening Model

Principal Investigator

Name
Dragos Zanchi

Degrees
M.D.

Institution
Pulmonary and Sleep of Tampa Bay PL

Position Title
President

Email
dragoszanchi@gmail.com

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-1193

Initial CDAS Request Approval
Feb 14, 2024

Title
Clinical Lung Cancer Screening Model

Summary
The purpose of this project is to train a machine learning classifier to perform early prediction of lung cancer and COPD. The model will recommend that high risk users see a doctor based on their clinical screening responses. The model will use only screening questions and will not take x-rays and scans into account. The model will also identify users with little to no risk of lung cancer and COPD.

Aims

- The model makes an accurate prediction of lung cancer and/or COPD diagnoses given the clinical screening questions
- The model identifies high risk users and recommends to have appropriate care.
- The model identifies low risk users and recommends to have appropriate care.
- The model makes a prediction without requiring x-rays or scans to be uploaded

Collaborators

Pulmonary & Sleep of Tampa Bay
Riverwalk Software LLC