Research Article
Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Models
Table 3
Contextual biographic and behavioral variables.
| | Biographic and behavioral metrics | | Variable | Description |
| | Age | Patient’s age | | Gender | Gender of the patient | | Advreact | Complaints of adverse drug reaction | | Herbal | Use of herbal supplements | | Missdose | Default in medication | | Smoking | Smoking status | | Exercise | Any physical activity | | Alcohol | Use of alcohol | | Diet | Whether on controlled diet | | Staff attitude | Approval of healthcare provider attitude | | Service_stf | Service rating | | Attd_physician | Availability of a clinician | | Queue_time | Concern for waiting time | | Cmbd | Presence of comorbidities | | Defaulter_status | Treatment status |
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