Skip to main content
Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases

Fig. 3

(a) AUROC performance metric values for the version 2 neural net model. Dots indicate the median AUROC values and associated lines show the corresponding 95% CIs. The symbol (*) indicates that the version 2 model performed significantly better than the version 1 model (with respect to accelerated bootstrap gains 95% CIs) and the symbol (•) indicates that the models performed the same statistically; no symbol indicates the model performed significantly worse (with respect to accelerated bootstrap gains 95% CIs). (b) Heatmap of net AUROC gains (version 2—version 1) across all available ICD-10 chapter IX codes for the four ML models assessed in this study. Clustering along the Y-axis was performed using hclust algorithm in R. The scale was bounded between + 2% and -2% to enable easier viewing, although net gains can be higher or lower, as listed in supplementary Table 4. Non-significant gains/ losses (95% CI accelerated bootstrap gains didn’t include 0) were changed to “0” before performing the clustering and are therefore represented as white. All corresponding values are also included in supplementary Table 4

Back to article page

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us