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design optimization » bayesian optimization (Expand Search)
driven optimization » guided optimization (Expand Search), dose optimization (Expand Search), process optimization (Expand Search)
binary simple » binary image (Expand Search), binary people (Expand Search)
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dietary data » history data (Expand Search)
design optimization » bayesian optimization (Expand Search)
driven optimization » guided optimization (Expand Search), dose optimization (Expand Search), process optimization (Expand Search)
binary simple » binary image (Expand Search), binary people (Expand Search)
simple design » sample design (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. …”
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Models and Dataset
Published 2025“…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …”