Screenshots

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.

Information

Seller
Alexandria Health LLC
Size
8.5 MB
Category
Medical
Compatibility
Requires iOS 11.2 or later. Compatible with iPhone, iPad, and iPod touch.
Languages
English
Age Rating
Rated 4+
Copyright
© 2018 Alexandria Health
Price
Free

Supports

  • Family Sharing

    With Family Sharing set up, up to six family members can use this app.

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