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Completed
NCT07616388
Machine Learning Model for Predicting Recovery After Critical Illness
Conditions: Funcional Status, Return to Work, Predictive Learning Models
Sex: All
Ages: 18 Years – N/A
Healthy volunteers: No
Enrollment: 2016
Sponsor: Hospital de Clinicas de Porto Alegre
Location: Hospital de Clínicas de Porto Alegre, Intensive Care Nursing Department Porto Alegre Rio Grande do Sul
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?
Eligibility Criteria
Inclusion Criteria:
* Age ≥18 years
* ICU stay ≥ 72 hours
* ICU stay ≥ 120 hours if the participant was admitted for elective surgery
Exclusion Criteria:
* No telephone contact available
* Failure to establish contact
* Transfer to another ICU
Source: ClinicalTrials.gov (NCT07616388). StuddyBuddy aggregates publicly available trial information.
