Machine learning algorithm may predict improvements in athletes after hip arthroscopy

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Sumary of Machine learning algorithm may predict improvements in athletes after hip arthroscopy:

  • Use of a machine learning algorithm may predict clinically relevant sports-specific improvements in athletes with femoroacetabular impingement undergoing hip arthroscopy, according to published results..
  • Researchers evaluated the models using discrimination, decision-curve analysis, calibration and the Brier score..
  • Researchers considered achieving the minimal clinically important difference in the hip outcome score-sports subscale (HOS-SS) at a minimum of 2 years postoperatively as the primary outcome measure..
  • Of the machine learning algorithms used, researchers noted the elastic-net penalized logistic regression model demonstrated the best performance and was transformed into an online application as an educational tool to demonstrate machine learning capabilities….

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