Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning

[1] Elwyn G(2012)Shared decision making: a model for clinical practice J Gen Intern Med 27 1361-1367

[2] Frosch D(2013)Shared decision making to improve care and reduce costs N Engl J Med 368 6-8

[3] Thomson R(2016)Patient-reported outcomes in the Swedish National Quality Registers J Intern Med 279 141-153

[4] Oshima Lee E(2017)Patient-reported outcomes — are they living up to their potential? N Engl J Med 377 6-9

[5] Emanuel EJ(2018)Can patient-reported outcomes predict re-operations after total hip replacement? Int Orthop 42 273-279

[6] Nilsson E(2013)Using prediction to improve elective surgery scheduling Australas Med J 6 287-289

[7] Orwelius L(2017)Predicting postoperative morbidity in adult elective surgical patients using the surgical outcome risk tool (SORT) Br J Anaesth 119 95-105

[8] Kristenson M(2013)Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major SurgeryQualitative systematic review Anesthesiology 119 959-981

[9] Baumhauer JF(2016)Comparing machine learning classifiers and linear/logistic regression to explore the relationship between Hand dimensions and demographic characteristics PLoS One 11 95-99

[10] Eneqvist T(2018)Machine learning approaches to the social determinants of health in the health and retirement study SSM - Population Health 4 1723-1730

[1] Elwyn G(2012)Shared decision making: a model for clinical practice J Gen Intern Med 27 1361-1367

[2] Frosch D(2013)Shared decision making to improve care and reduce costs N Engl J Med 368 6-8

[3] Thomson R(2016)Patient-reported outcomes in the Swedish National Quality Registers J Intern Med 279 141-153

[4] Oshima Lee E(2017)Patient-reported outcomes — are they living up to their potential? N Engl J Med 377 6-9

[5] Emanuel EJ(2018)Can patient-reported outcomes predict re-operations after total hip replacement? Int Orthop 42 273-279

[6] Nilsson E(2013)Using prediction to improve elective surgery scheduling Australas Med J 6 287-289

[7] Orwelius L(2017)Predicting postoperative morbidity in adult elective surgical patients using the surgical outcome risk tool (SORT) Br J Anaesth 119 95-105

[8] Kristenson M(2013)Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major SurgeryQualitative systematic review Anesthesiology 119 959-981

[9] Baumhauer JF(2016)Comparing machine learning classifiers and linear/logistic regression to explore the relationship between Hand dimensions and demographic characteristics PLoS One 11 95-99

[10] Eneqvist T(2018)Machine learning approaches to the social determinants of health in the health and retirement study SSM - Population Health 4 1723-1730