©Author(s) (or their employer(s)) 2026.
World J Crit Care Med. Mar 9, 2026; 15(1): 114318
Published online Mar 9, 2026. doi: 10.5492/wjccm.v15.i1.114318
Published online Mar 9, 2026. doi: 10.5492/wjccm.v15.i1.114318
Figure 10 Diagnostic performance across probability thresholds threshold-dependent performance metrics for the multilayer perceptron model.
At a 0.3 threshold, the model achieved high sensitivity (99.9%) but low specificity (0.2). Increasing the threshold to 0.5 balanced sensitivity (77%) and specificity (45%), while a 0.7 threshold improved specificity (82%) at the expense of sensitivity (40%). The optimal threshold (0.5) yielded the best overall accuracy (68%), representing the preferred trade-off for clinical application.
- Citation: Rajendran J, Ang SP, Lorenzo-Capps MJ, Valladares C, Lee E, Bommu VJL, Altarcha G, Pominov S, Gregory B, Chia JE, Iglesias J. Predicting acute kidney injury in septic shock patients using inflammatory indices in the intensive care unit. World J Crit Care Med 2026; 15(1): 114318
- URL: https://www.wjgnet.com/2220-3141/full/v15/i1/114318.htm
- DOI: https://dx.doi.org/10.5492/wjccm.v15.i1.114318