Table 6.
Overall performance to discriminate asymptomatic malaria cases
| Diagnostic method | Correct diagnosis (%)§** |
True positive (%)** |
True negative (%)*** |
False positive (%)*** |
False negative (%)** |
|---|---|---|---|---|---|
| Microscopy | 61.25 | 22.5 | 100 | 0 | 77.5 |
| MalDANN Epidemiologic |
56 | 70 | 28 | 72 | 30 |
| MalDANN Epidemiologic + cytokines |
80 | 67.5 | 92.5 | 7.5 | 32.5 |
MalDANN: Malaria Diagnosis by Artificial Neural Networks. This diagnostic software was trained on the sample of 300 individuals actively screened for asymptomatic malaria and was validated in 80 other individuals, according to the methods. The diagnostic methods presented significantly different results estimated using the Chi-square test. §correct diagnosis involves both negative and positive correct exams. **p < 0.01; ***p < 0.0001.