Violation of expectations is correlated with satisfaction following hip arthroscopy

[1] Assaf D(2020)Utilization of machine-learning models to accurately predict the risk for critical COVID-19 Intern Emerg Med 15 1435-1443

[2] Gutman Y(2019)How can we define clinically important improvement in pain scores after hip arthroscopy for femoroacetabular impingement syndrome? minimum 2 year follow-up study Am J Sports Med 47 3133-3140

[3] Neuman Y(2019)Is there an association between preoperative expectations and patient-reported outcome after hip arthroscopy for femoroacetabular impingement syndrome? Arthroscopy 35 3250-3258.e1

[4] Segal G(2021)Machine-learning algorithm that can improve the diagnostic accuracy of septic arthritis of the knee Knee Surg Sports Traumatol Arthrosc 29 3142-3148

[5] Amit S(2021)Preoperative expectations do not correlate with postoperative ihot-33 scores and patient satisfaction following hip arthroscopy for the treatment of femoroacetabular impingement syndrome Arthroscopy 38 1869-1875

[6] Gefen-Halevi S(2003)A meta-analytic review of the common-sense model of illness representations Psychol Bull 143 1117-1154

[7] Shilo N(2020)Machine learning and artificial intelligence: definitions, applications, and future directions Curr Rev Musculoskelet Med 13 69-76

[8] Epstein A(2005)Score normalization in multimodal biometric systems Pattern Recogn 38 2270-2285

[9] Mor-Cohen R(2021)Machine learning algorithms predict achievement of clinically significant outcomes after orthopaedic surgery: a systematic review Arthroscopy 8 2090-2105

[10] Biber A(2021)Machine learning algorithms predict functional improvement after hip arthroscopy for femoroacetabular impingement syndrome in athletes J Bone Joint Surg Am 103 1055-1062

[1] Assaf D(2020)Utilization of machine-learning models to accurately predict the risk for critical COVID-19 Intern Emerg Med 15 1435-1443

[2] Gutman Y(2019)How can we define clinically important improvement in pain scores after hip arthroscopy for femoroacetabular impingement syndrome? minimum 2 year follow-up study Am J Sports Med 47 3133-3140

[3] Neuman Y(2019)Is there an association between preoperative expectations and patient-reported outcome after hip arthroscopy for femoroacetabular impingement syndrome? Arthroscopy 35 3250-3258.e1

[4] Segal G(2021)Machine-learning algorithm that can improve the diagnostic accuracy of septic arthritis of the knee Knee Surg Sports Traumatol Arthrosc 29 3142-3148

[5] Amit S(2021)Preoperative expectations do not correlate with postoperative ihot-33 scores and patient satisfaction following hip arthroscopy for the treatment of femoroacetabular impingement syndrome Arthroscopy 38 1869-1875

[6] Gefen-Halevi S(2003)A meta-analytic review of the common-sense model of illness representations Psychol Bull 143 1117-1154

[7] Shilo N(2020)Machine learning and artificial intelligence: definitions, applications, and future directions Curr Rev Musculoskelet Med 13 69-76

[8] Epstein A(2005)Score normalization in multimodal biometric systems Pattern Recogn 38 2270-2285

[9] Mor-Cohen R(2021)Machine learning algorithms predict achievement of clinically significant outcomes after orthopaedic surgery: a systematic review Arthroscopy 8 2090-2105

[10] Biber A(2021)Machine learning algorithms predict functional improvement after hip arthroscopy for femoroacetabular impingement syndrome in athletes J Bone Joint Surg Am 103 1055-1062