Table 1: Features used for machine learning.
| Features | n | Data type |
|---|---|---|
| Patient age | 1 | Numeric |
| Patient sex | 1 | Binary |
| Patient Diagnoses Received in Last 2 Years (ICD-9 Codes) | 13 | Numeric |
| CPCSSN’s Detection of 6 Chronic Conditions | 6 | Binary |
| Medications Prescribed in Last 2 Years | 39 | Numeric |
| Patient Biometrics | 7 | Numeric |
| Province | 1 | Categorical |
| Missing Medication Indicator | 1 | Binary |
| Missing Height, Weight and BMI Indicators | 3 | Binary |
| Missing Chronic Conditions Indicator | 1 | Binary |
| Missing Patient Diagnoses Indicator | 1 | Binary |
| Missing Blood Pressure Indicator | 1 | Binary |
| Total | 75 |