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driven optimization » design optimization (Expand Search), process optimization (Expand Search)
binary hastv » binary health (Expand Search), binary data (Expand Search), binary mask (Expand Search)
hastv driven » hastv1 driven (Expand Search), atp driven (Expand Search)
dietary data » history data (Expand Search)
driven optimization » design optimization (Expand Search), process optimization (Expand Search)
binary hastv » binary health (Expand Search), binary data (Expand Search), binary mask (Expand Search)
hastv driven » hastv1 driven (Expand Search), atp driven (Expand Search)
dietary data » history data (Expand Search)
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Flow diagram of the proposed model.
Published 2025“…<div><p>Machine learning models are increasingly applied to assisted reproductive technologies (ART), yet most studies rely on conventional algorithms with limited optimization. This proof-of-concept study investigates whether a hybrid Logistic Regression–Artificial Bee Colony (LR–ABC) framework can enhance predictive performance in in vitro fertilization (IVF) outcomes while producing interpretable, hypothesis-driven associations with nutritional and pharmaceutical supplement use. …”