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Description
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.
What's New
Version 1.0.2 2023-04-05
Bug fixes and improvements Technical Analysis
Package Overview Basic metadata
Bundle ID
com.alexandriahealth.OncoMortality Current Version 1.0.2
Minimum iOS 11.2
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0 version records with stored package metadata • 3 known version records
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| Details | Version / IDs | Version date | Action |
|---|---|---|---|
| Not archived | App Store ID: 856065741 | Unknown | Request Version |
| Not archived | App Store ID: 834766465 | Unknown | Request Version |
| Not archived | App Store ID: 829483178 | Unknown | Request Version |