Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value in clinical practice

Table 3 Regression coefficient of feature in LR model

	Estimate
(Intercept)	−1.017450318
original_ngtdm_Contrast	0.64299895
original_glcm_Idmn	3.787615188
original_firstorder_Kurtosis	−0.407920908
original_glcm_Idn	−5.01458914
original_glcm_MaximumProbability	0.698800646
original_glcm_ClusterShade	−0.35539405
original_firstorder_Skewness	0.881224081
original_glszm_GrayLevelNonUniformityNormalized	−0.441609203

ISSN: 1479-5876