Toward understanding variations in price and billing in US healthcare services: A predictive analytics approach

•Multi-class classification proposed for understanding provider billing patterns.•Ensemble prediction models based on gradient boosted trees perform the best.•Socioeconomic and demographic factors of the patient base play a significant role.•Practice excess charge ratio and procedure impact on service are key predictors.•Results justify limiting Medicare excess charge to avoid high prices.