Domain adaptation improved performance of a model predicting sepsis-associated vasopressor use during external validation.

40 retrospectively collected features from the electronic medical records of adult ICU patients at the development site (four hospitals) were used as inputs for a neural network Weibull-Cox survival model to derive a prediction tool for future need of vasopressors.

Domain adaptation updated parameters to optimize model performance in the validation site (two hospitals), a different healthcare system over 2,000 miles away.

The cohorts at both sites were randomly split into training and testing sets (80% and 20%, respectively).

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