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Table 1 Input variables for ML models

From: Development and internal validation of machine learning algorithms to predict patient satisfaction after total hip arthroplasty

Demographics Comorbidities Preoperative PROMs
Age*
Sex
BMI (numerical)*
BMI (categorical)*
Number of comorbidities*
Diabetes
Hypertension
High cholesterol
Ischemic heart disease,
Stroke
Renal disease
Back pain
Depression
Previous hip surgery*
Previous knee surgery
Previous lumbar spine surgery*
SF-36 PCS*
SF-36 MCS*
WOMAC*
OHS*
  1. *10 candidate variables selected from recursive feature elimination