Fig. 5: Biomarker selection.
From: Development of a novel non-invasive biomarker panel for hepatic fibrosis in MASLD
Box and Whisker plot showing feature importance list of the machine learning model, showing the contribution of each of the 11 serum biomarkers to the classification into fibrosis groups in 128 patients of the testing cohort. Data are median (vertical line), interquartile range (boxes) and 10–90% percentile (error bars). The diamonds indicate outliers.
