Profiling Arthritis Pain with a Decision Tree.

Journal: Pain practice : the official journal of World Institute of Pain

Published Date: Jun 1, 2018

Abstract

BACKGROUND: Arthritis is the leading cause of work disability and contributes to lost productivity. Previous studies showed that various factors predict pain, but they were limited in sample size and scope from a data analytics perspective.

Authors

Man Hung

Department of Orthopaedics, University of Utah, Salt Lake City, Utah, U.S.A.
Jerry Bounsanga

Department of Orthopaedics, University of Utah, Salt Lake City, Utah, U.S.A.
Fangzhou Liu

Department of Orthopaedics, University of Utah, Salt Lake City, Utah, U.S.A.
Maren W Voss

Department of Orthopaedics, University of Utah, Salt Lake City, Utah, U.S.A.

Keywords

Algorithms Arthritis Data Mining Decision Trees Humans Machine Learning Pain Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (28949092)

Profiling Arthritis Pain with a Decision Tree.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals