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Prediction of Differential Pharmacologic Response in Chronic Pain Using Functional Neuroimaging Biomarkers and a Support Vector Machine Algorithm: An Exploratory Study.

Eric IchescoScott J PeltierIshtiaq MawlaDaniel E HarperLynne PauerSteven E HarteDaniel J ClauwRichard E Harris
Published in: Arthritis & rheumatology (Hoboken, N.J.) (2021)
Our findings indicate that brain functional connectivity patterns used in a machine-learning framework differentially predict clinical response to pregabalin and milnacipran in patients with chronic pain. These findings highlight the promise of machine learning in pain prognosis and treatment prediction.
Keyphrases
  • chronic pain
  • machine learning
  • functional connectivity
  • resting state
  • big data
  • deep learning
  • pain management
  • artificial intelligence
  • neuropathic pain
  • combination therapy
  • spinal cord injury
  • postoperative pain