The yvsoucom-iterkit framework demonstrates that healthcare risk prediction pipelines have a structured search space dominated by a small set of high-impact components such as augmentation and imbalance handling, with substantial redundancy among variants.
Diagnosis of diabetes type-ii using hybrid machine learning based ensemble model.International Journal of Information Technology, 12(2):419–428, 2020
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A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction
The yvsoucom-iterkit framework demonstrates that healthcare risk prediction pipelines have a structured search space dominated by a small set of high-impact components such as augmentation and imbalance handling, with substantial redundancy among variants.