publisher
category
price
Freestore
Reviews
5 (1)
United States
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.
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About
Bundle Id
com.alexandriahealth.OncoMortalityMin Os. Version
11.2Release Date
Sat, Dec 1, 2018Update Date
Wed, Apr 5, 2023Content Rating
4+Has IMessage
NoSupport Watch
NoSupport Siri
NoFile Size
235kBHas Game Center
NoFamily Sharing
YesSupport Passbook
NoSupported Languages
EnglishSupport
What's New
version
1.0.2updated
1 year agoBug fixes and improvements
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