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ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
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The comparison of the accuracy score of the benchmark and the proposed models.
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The statistical description of the original data set of the patients (<i>n</i> = 162).
Julkaistu 2025Aiheet: -
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Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
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The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
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Development of a pre-discharge model for 1-year post-discharge all-cause mortality after endovascular treatment for aneurysmal subarachnoid haemorrhage using LASSO–Boruta feature s...
Julkaistu 2025“…Given the imbalanced outcome distribution, we applied the Synthetic Minority Over-sampling Technique (SMOTE) to further assess model generalisability.…”
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Supplementary Material for: Sustainability of treatment success five years after exposure-based cognitive-behavioral therapy for anxiety disorders
Julkaistu 2025“…Among those who did, depression (64.2%) and anxiety (60.5%) were the most frequently cited reasons, although only a minority (6.0%) sought further treatment exclusively for anxiety. …”