Jinglu Wang

Bachelors of Arts

Weill Cornell Medical College

Graduate Student

NLST (Learn more about this study)

NLST-229

Jul 19, 2016

Data Mining Techniques to predict Early Stage Lung Cancer in NLST population

I would like to use data mining techniques such as logistic regression, decision trees, and predictive modeling to assess the likelihood of a patient having a malignant lung cancer at stage 1 detected on annual CT scans.

The primary goal is to have a better measure of patients at high-risk for developing non-small cell lung carcinomas and to find malignancies at an earlier stage, where surgical resection is a possibility.

A secondary goal would be to create a data mining tool to rank patients who do not show signs of lung carcinoma to receive different levels of following up based on the initial and subsequent presentation of their nodules on radiologic imaging.

The primary goal is to have a better measure of patients at high-risk for developing non-small cell lung carcinomas and to find malignancies at an earlier stage, where surgical resection is a possibility.

A secondary goal would be to create a data mining tool to rank patients who do not show signs of lung carcinoma to receive different levels of following up based on the initial and subsequent presentation of their nodules on radiologic imaging.