Machine Learning Model for Predicting Recovery After Critical Illness

Development and Validation of a Machine Learning Model for Predicting Functional Decline and Return to Work After Critical Illness

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?

This is a retrospective observational study using secondary data from two primary studies conducted between 2017-2019 and 2020-2022. No new participants will be recruited. Data were combined and harmonized for the present secondary analysis.

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