Skip to main content

Table 3 Septic shock (vasopressors) prediction

From: Data analytics and clinical feature ranking of medical records of patients with sepsis

method MCC F1 score accuracy TP rate TN rate
RF 0.32±0.14 0.88±0.03 0.80±0.04 0.88±0.04 0.43±0.15
MLP 0.31±0.13 0.87±0.03 0.79±0.04 0.87±0.04 0.47±0.15
LR 0.31±0.13 0.84±0.04 0.76±0.05 0.79±0.06 0.62±0.15
DL 0.30±0.11 0.83±0.05 0.73±0.04 0.78±0.05 0.61±0.16
NB 0.27±0.08 0.79±0.09 0.70±0.09 0.72±0.15 0.59±0.18
SVM (linear) 0.26±0.13 0.82±0.06 0.75±0.06 0.82±0.09 0.49±0.18
k-NN 0.23±0.14 0.81±0.06 0.71±0.07 0.76±0.10 0.50±0.20
SVM (kernel) 0.22±0.13 0.79±0.06 0.70±0.06 0.75±0.09 0.50±0.18
DT 0.18±0.13 0.78±0.06 0.67±0.07 0.72±0.10 0.50±0.19
method PR AUC ROC AUC PPV NPV  
RF 0.18±0.07 0.28±0.29 0.47±0.16 0.87±0.05  
MLP 0.16±0.05 0.28±0.28 0.46±0.16 0.87±0.05  
LR 0.11±0.04 0.26±0.31 0.41±0.12 0.90±0.04  
DL 0.11±0.04 0.26±0.31 0.39±0.12 0.88±0.04  
NB 0.11±0.06 0.26±0.29 0.34±0.09 0.89±0.04  
SVM (linear) 0.15±0.05 0.26±0.24 0.37±0.13 0.86±0.06  
k-NN 0.13±0.06 0.25±0.30 0.33±0.12 0.87±0.06  
SVM (kernel) 0.13±0.05 0.24±0.20 0.32±0.11 0.86±0.06  
DT 0.12±0.05 0.23±0.29 0.29±0.10 0.86±0.06  
  1. Performance of the learned models with the different methods evaluated with the different metrics, expressed in the format “average value ± standard deviation”, obtained on 100 executions. DT: decision tree. MLP: multi-layer perceptron neural network. RF: random forest. k-NN: k-nearest neighbors. DL: deep neural network with 3 hidden layers and weight decay. LR: logistic regression. NB: Naïve Bayes. SVM (kernel): support vector machine with kernel. SVM (linear): linear support vector machine. MCC: Matthews correlation coefficient. TP rate: true positive rate (sensitivity, recall). TN rate: true negative rate (specificity). PR: precision-recall curve. ROC: receiver operating characteristic. AUC: area under the curve. MCC: worst value –1.00 and best value +1.00. PPV: positive predictive value (precision). NPV: negative predictive value. F1 score, accuracy, TP rate, TN rate, PR AUC, ROC AUC, PPV, NPV: worst value 0.00 and best value 1.00. Imbalance of this dataset: yes septic shock class: 1’s positives, #elements = 67 (18.41%), and no septic shock class: 0’s negatives, #elements = 297 (81.59%)
\