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Forsythe, Brian
One or more keywords matched the following items that are connected to
Forsythe, Brian
Item Type
Name
Academic Article
Development of supervised machine learning algorithms for prediction of satisfaction at 2 years following total shoulder arthroplasty.
Academic Article
Machine learning can reliably identify patients at risk of overnight hospital admission following anterior cruciate ligament reconstruction.
Academic Article
Development of a Machine Learning Algorithm to Predict Nonroutine Discharge Following Unicompartmental Knee Arthroplasty.
Academic Article
Machine-learning model successfully predicts patients at risk for prolonged postoperative opioid use following elective knee arthroscopy.
Academic Article
Duration of Care and Operative Time Are the Primary Drivers of Total Charges After Ambulatory Hip Arthroscopy: A Machine Learning Analysis.
Academic Article
Machine Learning Model Identifies Increased Operative Time and Greater BMI as Predictors for Overnight Admission After Outpatient Hip Arthroscopy.
Academic Article
A Machine Learning Algorithm Outperforms Traditional Multiple Regression to Predict Risk of Unplanned Overnight Stay Following Outpatient Medial Patellofemoral Ligament Reconstruction.
Academic Article
Implementation of Machine Learning to Predict Cost of Care Associated with Ambulatory Single-Level Lumbar Decompression.
Academic Article
Editorial Commentary: Machine Learning and Artificial Intelligence Are Tools Requiring Physician and Patient Input When Screening Patients at Risk for Extended, Postoperative Opioid Use.
Academic Article
Machine Learning for Predicting Lower Extremity Muscle Strain in National Basketball Association Athletes.
Concept
Machine Learning
Concept
Supervised Machine Learning
Search Criteria
Learning