The study claims a PSO-plus-TabTransformer pipeline predicts IVF live birth with 99.5% accuracy, but the model uses outcome-derived features that make the result a leakage artifact rather than a clinical prediction.
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An Integrated Optimization and Deep Learning Pipeline for Predicting Live Birth Success in IVF Using Feature Optimization and Transformer-Based Models
The study claims a PSO-plus-TabTransformer pipeline predicts IVF live birth with 99.5% accuracy, but the model uses outcome-derived features that make the result a leakage artifact rather than a clinical prediction.