Prediction of Neonatal Length of Stay in High-Risk Pregnancies Using Regression-Based Machine Learning on Computerized Cardiotocography Data.

The resulting p -value < 0.001 indicates that none of the randomized permutations achieved an R 2 comparable to the observed one, confirming that the model’s predictive accuracy is highly significant and not an artifact of random data alignment.

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