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Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

From: Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis

Fig. 4

Coupled forest plots for sensitivity and specificity. A All single-unit ML algorithms. B CKD subgroup. C IgAN subgroup. D Sensitivity analysis after eliminating outliers and data with small sample sizes. The gray square with a black point in the center showed study specific estimates of sensitivity and specificity. The width of solid black line showed their 95% confidence intervals. The diamond at the bottom of the figure was a combination of single-unit ML algorithm.The center of diamond represented the point estimates, and the width of diamond represented 95% confidence intervals

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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