Primer on machine learning: utilization of large data set analyses to individualize pain management.

Journal: Current opinion in anaesthesiology

Published Date: Oct 1, 2019

Abstract

PURPOSE OF REVIEW: Pain researchers and clinicians increasingly encounter machine learning algorithms in both research methods and clinical practice. This review provides a summary of key machine learning principles, as well as applications to both structured and unstructured datasets.

Authors

Parisa Rashidi

Department of Biomedical Engineering, University of Florida, Gainesville, FL USA.
David A Edwards

Division of Pain Medicine, Department of Anesthesiology, Vanderbilt University, Nashville, TN.
Patrick J Tighe

Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida, USA.

Keywords

Data Analysis Datasets as Topic Electronic Health Records Facial Expression Humans Machine Learning Neuroimaging Pain Pain Management Pain Measurement Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (31408024)

Primer on machine learning: utilization of large data set analyses to individualize pain management.

Abstract

Authors

Keywords

External Resources

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