A machine-learning study develops and interprets models predicting live birth after freeze-all frozen embryo transfers, comparing transfer-order subgroups and feature sets.
Key Takeaways
- Previous studies conducted specifically in freeze-all cycles have identified several predictors of live birth
- Further examined cumulative live birth across multiple complete IVF cycles under a freeze-all strategy ( 8 )
- Variable preprocessing followed the source-data workflow used to generate the three analytical cohorts