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Summary

for people ages 18 years and up (full criteria)
at San Francisco, California
study started
estimated completion:

Description

Summary

Through the mapping of retrospective patient data into a discrete multidimensional space, a novel algorithm for homeostatic analysis, was built to make outcome predictions. In this prospective study, the ability of the algorithm to predict patient mortality and influence clinical outcomes, will be investigated.

Official Title

A Randomized Clinical Trial of a Mortality Prediction Algorithm

Keywords

Decompensation, Heart Decompensation; Heart, Congestive Death Dascena patient mortality machine learning algorithm diagnostic

Eligibility

You can join if…

Open to people ages 18 years and up

  • All adult patients admitted to the participating units will be eligible.

You CAN'T join if...

  • All patients younger than 18 years of age will be excluded.

Location

Details

Status
accepting new patients
Start Date
Completion Date
(estimated)
Sponsor
Dascena
ID
NCT03212534
Lead Scientist
David Shimabukuro
Study Type
Interventional
Last Updated
July 1, 2017
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