Research Article
Automated Diagnosis of Hepatitis B Using Multilayer Mamdani Fuzzy Inference System
Table 2
Layer II input variables of the proposed ADHB-ML-MFIS expert system [
13].
| Sr no. | Input parameters | Ranges | Semantic sign | Reference range/cutoff value |
| 1 | HBsAg | LT < 0.9 | Negative | 1.0 | B/W 0.9–1.0 | Borderline | GT > 1.0 | Positive |
| 2 | Anti-HBsAg | 2–10 IU/L | Negative | 10 IU/L | GT > 10 | Positive |
| 3 | Anti-HBcAg | LT < 1.0 | Positive | 1.0 | B/W 0.9–1.1 | Borderline | GT > 1.0 | Negative |
| 4 | Anti-HBcAg-IgM | LT < 1.0 | Negative | 1.0 | B/W 0.9–1.1 | Borderline | GT > 1.0 | Positive |
| 5 | HBeAg | LT < 0.67 | Negative | 0.67 | GT > 0.67 | Positive |
| 6 | Anti-HBeAg | LT < 0.75 | Positive | 0.75 | GT > 0.75 | Negative |
| 7 | HBV-DNA | LT < 10 | Negative | 10 IU/L | GT > 10 | Positive |
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LT = less than; GT = greater than; B/W = between; IU/L = international unit per liter; anti-HBsAg = HBsAb; anti-HBcAg-IgM = HBcAb-IgM; anti-HBcAg = HBcAb; anti-HBeAg = anti-HBeAg.
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