MedTrace Logo

CALYPSO Pilot Study: Machine Learning Based Predictions of Surgical Complications

NCT02828475 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2018-07-03

No results posted yet for this study

Summary

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

Conditions

  • Complication of Surgical Procedure
  • Postoperative Infection

Interventions

OTHER

CALYPSO

Software platform of machine-learning based predictive models of surgical complication.

BEHAVIORAL

Standard Care

Previous standard of care based on surgeon judgement alone.

Sponsors & Collaborators

Principal Investigators

  • Zhifei Sun, MD · Duke University Department of Surgery

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-06-30
Primary Completion
2017-01-31
Completion
2017-02-28

Countries

  • United States

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02828475 on ClinicalTrials.gov