Table 2 Descriptive statistics of dataset.
From: Ensemble machine learning framework for predicting maternal health risk during pregnancy
Attribute | Description | Min | Max | Mean | SD |
|---|---|---|---|---|---|
Age | The age of the patient at the time of pregnancy | 10 | 70 | 29.87 | 13.47 |
Systolic BP | The upper reading of blood pressure | 70 | 160 | 113.19 | 18.40 |
Diastolic BP | The lower reading of blood pressure | 49 | 100 | 76.46 | 13.86 |
BS | Blood sugar reading | 6 | 19 | 8.72 | 3.29 |
Body temp | Body temperature of the patient | 98 | 103 | 98.66 | 1.37 |
Heart rate | Hear beats per minute | 60 | 90 | 74.30 | 8.08 |
Risk level | Target class: to identify the level of risks [LR: 406, MR: 336, HR: 272] | ||||
