Research Article
Diagnostic Model of In-Hospital Mortality in Patients with Acute ST-Segment Elevation Myocardial Infarction Used Artificial Intelligence Methods
Table 3
Confusion matrix and AUC.
| ā | Original to original | Downsampling to original | TPa | TNb | FPc | FNd | Accuracy | Recall | Specificity | Precision | F1 score | F2 score | AUC | TPa | TNb | FPc | FNd | Accuracy | Recall | Specificity | Precision | F1 score | F2 score | AUC |
| Logistic regression | Training | 1039 | 39074 | 753 | 4130 | 0.89 | 0.20 | 0.98 | 0.58 | 0.30 | 0.23 | 0.59 | 4243 | 3775 | 1403 | 926 | 0.77 | 0.82 | 0.73 | 0.75 | 0.78 | 0.81 | 0.77 | Test | 987 | 37928 | 758 | 3908 | 0.89 | 0.20 | 0.98 | 0.57 | 0.30 | 0.23 | 0.59 | 3979 | 28944 | 9742 | 916 | 0.76 | 0.81 | 0.75 | 0.29 | 0.43 | 0.60 | 0.78 | Validation | 994 | 35764 | 733 | 3007 | 0.91 | 0.25 | 0.98 | 0.58 | 0.35 | 0.28 | 0.61 | 3294 | 28094 | 8403 | 707 | 0.78 | 0.82 | 0.77 | 0.28 | 0.42 | 0.59 | 0.80 |
| Decision tree | Training | 1361 | 39274 | 553 | 3808 | 0.90 | 0.26 | 0.99 | 0.71 | 0.38 | 0.30 | 0.62 | 4316 | 4022 | 1156 | 853 | 0.81 | 0.83 | 0.78 | 0.79 | 0.81 | 0.83 | 0.81 | Test | 997 | 37792 | 894 | 3898 | 0.89 | 0.20 | 0.98 | 0.53 | 0.29 | 0.23 | 0.59 | 3735 | 28647 | 10039 | 1160 | 0.74 | 0.76 | 0.74 | 0.27 | 0.40 | 0.56 | 0.75 | Validation | 892 | 35570 | 927 | 3109 | 0.90 | 0.22 | 0.97 | 0.49 | 0.31 | 0.25 | 0.60 | 3094 | 27765 | 8732 | 907 | 0.76 | 0.77 | 0.76 | 0.26 | 0.39 | 0.56 | 0.77 |
| Xgboost | Training | 1339 | 39251 | 576 | 3830 | 0.90 | 0.26 | 0.99 | 0.70 | 0.38 | 0.30 | 0.62 | 4496 | 3904 | 1274 | 673 | 0.81 | 0.87 | 0.75 | 0.78 | 0.82 | 0.85 | 0.81 | Test | 1041 | 37888 | 798 | 3854 | 0.89 | 0.21 | 0.98 | 0.57 | 0.31 | 0.24 | 0.60 | 4011 | 28110 | 10576 | 884 | 0.74 | 0.82 | 0.73 | 0.27 | 0.41 | 0.59 | 0.77 | Validation | 892 | 35570 | 927 | 3109 | 0.90 | 0.22 | 0.97 | 0.49 | 0.31 | 0.25 | 0.60 | 3306 | 27253 | 9244 | 695 | 0.75 | 0.83 | 0.75 | 0.26 | 0.40 | 0.58 | 0.79 |
| K nearest neighbour | Training | 370 | 39689 | 138 | 4799 | 0.89 | 0.07 | 1.00 | 0.73 | 0.13 | 0.09 | 0.53 | 3699 | 4128 | 1050 | 1470 | 0.76 | 0.72 | 0.80 | 0.78 | 0.75 | 0.73 | 0.76 | Test | 280 | 38539 | 147 | 4615 | 0.89 | 0.06 | 1.00 | 0.66 | 0.11 | 0.07 | 0.53 | 3246 | 31054 | 7632 | 1649 | 0.79 | 0.66 | 0.80 | 0.30 | 0.41 | 0.53 | 0.73 | Validation | 290 | 36332 | 165 | 3711 | 0.90 | 0.07 | 1.00 | 0.64 | 0.13 | 0.09 | 0.53 | 2678 | 29935 | 6562 | 1323 | 0.81 | 0.67 | 0.82 | 0.29 | 0.40 | 0.53 | 0.74 |
| Multilayer perceptron | Training | 1082 | 39062 | 765 | 4087 | 0.89 | 0.21 | 0.98 | 0.59 | 0.31 | 0.24 | 0.60 | 4398 | 3634 | 1544 | 771 | 0.78 | 0.85 | 0.70 | 0.74 | 0.79 | 0.83 | 0.78 | Test | 1043 | 37929 | 757 | 3852 | 0.89 | 0.21 | 0.98 | 0.58 | 0.31 | 0.24 | 0.60 | 4129 | 28018 | 10668 | 766 | 0.74 | 0.84 | 0.72 | 0.28 | 0.42 | 0.60 | 0.74 | Validation | 804 | 35996 | 501 | 3197 | 0.91 | 0.20 | 0.99 | 0.62 | 0.30 | 0.23 | 0.59 | 3477 | 26476 | 10021 | 524 | 0.74 | 0.87 | 0.73 | 0.26 | 0.40 | 0.59 | 0.74 |
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