Skip to content

Advanced Feature Engineering #35

Description

@levelslip
  • Description: Engineer domain-specific features for modeling
  • Activities:
    • Temporal features:
      • Hour of day (0-23)
      • Day of week (Monday=0, Sunday=6)
      • Is_peak_hour (boolean: 1 if 9-12 or 2-5, 0 otherwise)
      • Is_weekend (boolean: 1 if Saturday/Sunday)
      • Is_morning (boolean: 1 if 6-12, 0 otherwise)
      • Time_to_peak (minutes until next peak hour)
    • Queue features:
      • Current queue length at arrival
      • Average queue length at same time yesterday
      • Queue trend (increasing, stable, decreasing)
      • Queue velocity (patients served per hour)
      • Estimated time to clear queue
    • Doctor features:
      • Doctor efficiency score (avg service time)
      • Doctor availability (% free)
      • Doctor fatigue indicator (hours worked)
    • Department features:
      • Department average service time
      • Department average wait time at time
      • Department capacity utilization
      • Department workload (total patients)
    • Patient features:
      • Is_returning_patient (boolean)
      • Insurance type (categorical)
      • Patient history (avg service time for this patient)
    • Derived features:
      • Ratio features (queue_length / doctor_count)
      • Interaction features (peak_hour × high_queue)
    • Feature scaling and normalization:
      • Standardize numeric features (zero mean, unit variance)
      • Encode categorical features
      • Handle skewed distributions
    • Document feature engineering decisions
  • Deliverables: Engineered features dataset, feature documentation

Metadata

Metadata

Labels

DSData Science Role

Type

No type

Projects

No projects

Relationships

None yet

Development

No branches or pull requests

Issue actions