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Identification and Optimization of Contributing Factors for Precocious Puberty by Machine/Deep Learning Methods in Chinese Girls.

Front Endocrinol (Lausanne) · 2022 · PMC9279618 · PMID 35846287

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may not be significantno p-value reported
By comparison, we found the prediction performance of GBM algorithm is best, and this algorithm focuses on improved prediction by combining information from many variables that individually may not be significant but together are very informative; of less concern is the functional form of any one variable ( 23 ).

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