Research Article
Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System
Table 1
11 Output variables for one record (100 datasets).
| Variable name (disease) | Accuracy degree | Real situations | Results produced by the software | The comparison of the real situation and the result produced |
| History | 0,9900 | False | False | POSITIVE | Pres | 0,9412 | Normal | Zero | NEGATIVE | MinVol | 0,9136 | Normal | Zero | NEGATIVE | ExpCO2 | 0,9136 | Normal | Zero | NEGATIVE | PAP | 0,9000 | Normal | Normal | POSITIVE | HRBP | 0,8229 | High | High | POSITIVE | HREKG | 0,8229 | High | High | POSITIVE | HRSat | 0,8229 | High | High | POSITIVE | CVP | 0,7075 | Normal | Normal | POSITIVE | PCWP | 0,6970 | Normal | Normal | POSITIVE | BP | 0,4052 | Low | Low | POSITIVE |
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