Research Article
Diagnose Diabetic Mellitus Illness Based on IoT Smart Architecture
Table 3
A brief description of considered features of the datasets.
| | Sl. no. | Features | Meaning | Values |
| | 1 | Pregnancies | Number of times the women is pregnant | A numeric value (between 0 and 17) | | 2 | Glucose | After 2 hours, plasma glucose concentration was determined in an oral glucose tolerance test (OGTT) | A numeric value (between 0 and 199) | | 3 | Blood pressure | Diastolic blood pressure (in mmHg) | A numeric value (between 0 and 122) | | 4 | Skin thickness | Thickness of triceps skin fold (in mm) | A numeric value (between 0 and 99) | | 5 | Insulin | 2-hour serum insulin (in μU/ml) | A numeric value (between 0 and 846) | | 6 | Body mass index (BMI) | Index mass of the body (weight in kg/height in m2) | A numeric value (between 14 and 80.6) | | 7 | Diabetes pedigree function (DPF) | Diabetes mellitus family history | A numeric value (between 0.078 and 2.42) | | 8 | Age | Age in years | A numeric value (between 1 and 120) | | 9 | Outcome | Diabetes disease diagnosis | 0: healthy and 1: diabetic |
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