Machine learning–based prediction of clinical pain using multimodal neuroimaging and autonomic metrics

Pain7.40
Volume: 160, Issue: 3, Pages: 550 - 560
Published: Oct 17, 2018
Abstract
In Brief Although self-report pain ratings are the gold standard in clinical pain assessment, they are inherently subjective in nature and significantly influenced by multidimensional contextual variables. Although objective biomarkers for pain could substantially aid pain diagnosis and development of novel therapies, reliable markers for clinical pain have been elusive. In this study, individualized physical maneuvers were used to exacerbate...
Paper Details
Title
Machine learning–based prediction of clinical pain using multimodal neuroimaging and autonomic metrics
Published Date
Oct 17, 2018
Journal
Volume
160
Issue
3
Pages
550 - 560
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