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Fig. 1 | BMC Infectious Diseases

Fig. 1

From: Bacteriological analysis based on disease severity and clinical characteristics in patients with deep neck space abscess

Fig. 1

LASSO and Logistic Regression Models Used to Select Variables. A LASSO coefficient profiles of 17 clinical features. B Identification of the optimal penalization coefficient λ (0.054) in the LASSO regression model with tenfold cross-validation and 1 SE criterion. C Nomogram for assessing the risk of developing life-threatening complications in patients with DNSA. Abbreviations: LASSO, least absolute shrinkage, and selection operator; DNSA, deep neck space abscess; NEUT, neutrophil count; PLR, platelet count to lymphocyte count ratio; Spaces, multi-space involvement

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