Research Article
An Improved Artificial Neural Network Model for Effective Diabetes Prediction
Table 1
The input and output variables for the proposed system framework.
| S/N | Input attributes | Description | Range values |
| 1 | Pregnancies | Number of times pregnant | 0–17 | 2 | Glucose | Plasma glucose concentration 2 hours in an oral glucose tolerance test | 0–199 | 3 | Blood pressure | Diastolic blood pressure (mm Hg) | 0–122 | 4 | Skin thickness | Triceps skinfold thickness (ram) | 0–99 | 5 | Insulin | 2-hour serum insulin (mu U/m1) | 0–846 | 6 | BMI | Body mass index (weight in kg/(height in m)2) | 0–67.1 | 7 | Diabetes pedigree function | Diabetes pedigree function | 0.078–2.42 | 8 | Age | Age (years) | 21–81 |
| Output/responder variable | Sr. | Input attributes | Description | Range values | 1 | Outcome | Diabetes, yes or no | 01 |
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