Significant attention has been paid to the comprehensive analysis of various indicators [ 14 – 16 ], but with current POR assessment approaches, traditional logistic regression is highly subjective and time-consuming [ 17 ], and is also unable to exploit interconnections between predictors and combinations of factors which may not be significant individually.
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Machine-intelligence for developing a potent signature to predict ovarian response to tailor assisted reproduction technology.
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