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Using the XGBoost algorithm, we developed a classifier incorporating nine genes (ARHGAP9, CADM1, CPE, DUSP3, FGFR1, GALNT3, IGF2BP3, KIF26A, ZFP3). In our internal cohort, the classifier exhibited ...
The core of this patent lies in constructing a machine learning database, using design parameters of seismic isolation bearings as input data, and bridge target response data as output data.
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