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Fig. 2 | BMC Infectious Diseases

Fig. 2

From: Predictive nomogram for early detection of invasive fungal disease deterioration --- a 10-year retrospective cohort study

Fig. 2

Selection of optimal predictors using the LASSO regression. Notes: a Determination of optimal regularization parameter λ of the LASSO model to select the optimal predictors for IFD deterioration. When log(λ) is -3.79, LASSO shows the best predictive performance with the minimum number of predictors and regression errors, where the coefficients of 27 out of 43 baseline variables are shrunk to zero. b The coefficient profile of LASSO. The trajectory of each IFD-related feature coefficient is observed in the LASSO coefficient profiles with the changing of the λ values. LASSO, least absolute shrinkage and selection operator; IFD, invasive fungal disease

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BMC Infectious Diseases

ISSN: 1471-2334

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