Lung Cancer Outcome Calculator

Disclaimer: The outcome calculator results are estimates based on data consisting of a large number of lung cancer records. All results are provided for informational purposes only, in furtherance of the developers' educational mission, and are not meant to replace the advice of a medical doctor. The developers may not be held responsible for any medical decisions based on this outcome calculator.

Welcome to our online lung cancer outcome calculator. The calculator is based on data obtained from Surveillance Epidemiology and End Results (SEER) of the National Cancer Institute which is an authoritative repository of cancer statistics in the United States. The data contains lung cancer records of nearly 50000 patients. The calculator estimates the risk of mortality after 6 months, 9 months, 1 year, 2 year, and 5 years of diagnosis, using a small non-redundant subset of 13 patient attributes which were carefully selected using attribute selection techniques. The graph shows the five risk values obtained for specific attribute values, which are shown below the graph. To obtain risk values for a new set of attribute values, please change the attribute values below and click on the submit button.

Get Mortality Risks

Developer team: Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok Choudhary


A. Agrawal and A. Choudhary, “Health Services Data: Big Data Analytics for Deriving Predictive Healthcare Insights,” in Data and Measures in Health Services Research, B. Sobolev, A. Levy, and S. Goring, Eds. Springer US, 2016, pp. 1–17. [url]

A. Agrawal, S. Misra, R. Narayanan, L. Polepeddi, and A. Choudhary, "Lung cancer survival prediction using ensemble data mining on SEER data," Scientific Programming, vol. 20, no. 1, pp. 29-42, 2012. [url]

A. Agrawal, S. Misra, R. Narayanan, L. Polepeddi, and A. Choudhary, "A lung cancer outcome calculator using ensemble data mining on SEER data," in Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics (BIOKDD), 2011, pp. 1-9. [url]

Center for Ultra-scale Computing and Information Security (CUCIS), EECS Department, Northwestern University, Evanston, IL 60208, USA