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Classifying High-Risk Patients for Persistent Opioid Use After Major Spine Surgery: A Machine-Learning Approach.
Sierra Simpson
William Zhong
Soraya Mehdipour
Michael Armaneous
Varshini Sathish
Natalie Walker
Engy T Said
Rodney A Gabriel
Published in:
Anesthesia and analgesia (2024)
The balanced random forest classifier was found to be the most effective model for identifying persistent opioid use after spine surgery.
Keyphrases
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machine learning
end stage renal disease
ejection fraction
chronic kidney disease
newly diagnosed
climate change
artificial intelligence
deep learning