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
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