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CALYPSO Pilot Study: Machine Learning Based Predictions of Surgical Complications — CALYPSO  

Complication of Surgical Procedure Clinical Trial

Official title:
Pilot Study for a Clinical Analytical Platform for Surgical Outcomes

Clinical Trial Summary

This is a pilot study of surgical patients whose postoperative care will be augmented with a personalized risk prediction platform (CALYPSO app).

Clinical Trial Description

CALYPSO is a software platform that uses machine learning techniques to create personalized risk predictions for postoperative complications. Individual risk factors are then linked to best-practice interventions tailored to the individual patient. The investigator aims to test the hypothesis that using CALYPSO-augmented postoperative care will reduce complication rates in patients undergoing elective general surgery. Subjects undergoing surgery will be assigned to the CALYPSO intervention in the postoperative period. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT02828475
Study type Observational
Source Duke University
Contact
Status Completed
Phase
Start date June 2016
Completion date February 2017
View Details
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