Published in

American Association for the Advancement of Science, Science Advances, 37(7), 2021

DOI: 10.1126/sciadv.abj0320

Links

Tools

Export citation

Search in Google Scholar

Classifying chronic pain using multidimensional pain-agnostic symptom assessments and clustering analysis

Journal article published in 2021 by Gadi Gilam ORCID, Eric M. Cramer ORCID, Kenneth A. Webber ORCID, Maisa S. Ziadni ORCID, Ming-Chih Kao, Sean C. Mackey ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Red circle
Postprint: archiving forbidden
Green circle
Published version: archiving allowed
Upload
Policy details
Data provided by SHERPA/RoMEO

Abstract

Domain-general, patient-reported symptoms can robustly classify current severity of chronic pain and predict future pain levels.