Editorial Commentary: Predicting Satisfaction After Hip Arthroscopy Using Machine Learning: What Do Treadmills and Black Boxes Have to Do With Arthroscopy?

نویسندگان

چکیده

The use of advanced statistical methods and artificial intelligence including machine learning enables researchers to identify preoperative characteristics predictive patients achieving minimal clinically important differences in health outcomes after interventions surgery. Machine uses algorithms recognize patterns data sets predict outcomes. advantages are the ability, using “big data” registries, infer relations that otherwise would not be readily understood ability continuously improve model as new added. However, has limitations. Models only good incorporated, may misapplied owing huge strong computing capabilities, which spurious correlations suggested based on significant P values. Hence, common sense must applied. future outcome prediction studies will most definitely rely methods.

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ژورنال

عنوان ژورنال: Arthroscopy

سال: 2021

ISSN: ['1526-3231', '0749-8063']

DOI: https://doi.org/10.1016/j.arthro.2020.12.231