About this app
This clinical decision support tool helps medical providers predict risk of 60-, 90-, and 180-day mortality among cancer patients, including breast, lung, ovarian, kidney, and other cancer types This machine learning algorithm is the digital manifestation of the research paper, An Actionable Tool for Mortality Predictions in Cancer Patients by Dimitris Bertsimas, Jack Dunn, Colin Pawlowski, John Silberholz, Alexander Weinstein, Ying Daisy Zhuo, Eddy Chen, and Aymen Elfiky, that appeared JCO Clinical Cancer Informatics in June, 2018.
Latest release
What’s New
Bug fixes and improvements
Audience growth
Ratings growth
Baseline captured. Growth appears after the crawler observes a changed rating count.
Momentum comes from crawler snapshots for the tracked storefront. “Viral growth signal” means unusually fast recent rating gains; it is an indicator, not download data.
Price tracking
Price intelligence
First snapshot captured. The trend line starts after the next crawler price observation.
- First observed Aug 24, 2026 · 1:35 AM Free
Screenshots
