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Table 2 The 4 features screened based on the LASSO-Cox regression model

From: Preoperative prediction of cervical cancer survival using a high-resolution MRI-based radiomics nomogram

Feature

Coefficient

OriginalglcmInverseVariance

 − 0.115376

Wavelet-HLLfirstorderMean

0.107882

Wavelet-HHLfirstorderMedian

0.099625

Wavelet-LLLgldmDependenceVariance

0.167106

  1. LASSO least absolute shrinkage and selection operator
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BMC Medical Imaging

ISSN: 1471-2342

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