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Prediction of Lung cancer and mortality using machine learning and deep learning

Principal Investigator
Name
Thu Cao
Degrees
MA
Institution
Columbia University Medical Center
Position Title
Data Analyst
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-609
Initial CDAS Request Approval
Nov 26, 2019
Title
Prediction of Lung cancer and mortality using machine learning and deep learning
Summary
Using radiological, histological images and clinical information from the NLST, we are aiming to develop predictive models using machine learning and deep learning techniques to automatically detect lung lesions and predict mortality.
Aims

1. Determine an effective approach for data processing for most accurate predictive model.
2. Develop an effective deep learning and machine learning model to identify lung lessons
3. Build a machine leaning model to predict mortality with high accuracy

Collaborators

B. Payne Stanifer, MD – Columbia University Medical Center