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Machine Learning Model for Predicting Recovery After Critical Illness

NCT07616388 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2016

Last updated 2026-06-01

No results posted yet for this study

Summary

This study aims to develop and test an artificial intelligence (AI) model to predict long-term functional status and return to work after critical illness.

The main question is:

Can we develop and validate a machine learning model to predict long-term functional status and return to work after critical illness?

Conditions

  • Funcional Status
  • Return to Work
  • Predictive Learning Models

Interventions

OTHER

No interventions were performed.

No interventions were performed.

Sponsors & Collaborators

  • Federal University of Rio Grande do Sul

    collaborator OTHER

  • Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Brazil

    collaborator OTHER

  • Hospital de Clinicas de Porto Alegre

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-03-15
Primary Completion
2026-03-20
Completion
2026-04-15

Countries

  • Brazil

Study Locations

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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 NCT07616388 on ClinicalTrials.gov