Research Support - Examples of Clinical Variables used in IVF Prediction Models

Practical selection of clinical predictors for feature testing based on clinical goals & availability

This slide shows examples of clinical variables that can be tested for usage in a predictive model. The selection of predictors depends on the expected clinical usage of the prediction model. The variables used in the model should be known and easily available to the provider and patient at the time of clinical usage of the model. Many of these variables may also be outcomes that can in turn be predicted by “upstream” features.

MLCS model = machine learning, center-specific model