Predicting the course of high-impact chronic pain using machine learning algorithms.

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Title: Predicting the course of high-impact chronic pain using machine learning algorithms.
Authors: Morris MC; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, United States. Electronic address: matthew.c.morris@vumc.org., Moradi H; Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, United States., Aslani M; Department of Information Systems & Supply Chain Management, University of North Carolina, Greensboro, NC, United States., Bruehl S; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States., al'Absi M; Department of Family Medicine & Biobehavioral Health, University of Minnesota Medical School, MN, United States., Sun S; Department of Social Welfare, University of California, Los Angeles, CA, United States., Han GT; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States., Larach DB; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States., Brintz CE; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States., Stone A; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States., Cole K; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Orthopaedic Surgery, Vanderbilt University Medical Center, Nashville, TN, United States., Karlson C; Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, United States; Department of Hematology and Oncology, University of Mississippi Medical Center, Jackson, MS, United States., Coronado RA; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Orthopaedic Surgery, Vanderbilt University Medical Center, Nashville, TN, United States., Kinney K; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Physical Medicine and Rehabilitation, Osher Center for Integrative Health, Vanderbilt University Medical Center, Nashville, TN, United States., Bartley EJ; Department of Community Dentistry & Behavioral Science, University of Florida, Gainesville, FL, United States., Archer KR; Vanderbilt Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Orthopaedic Surgery, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Physical Medicine and Rehabilitation, Osher Center for Integrative Health, Vanderbilt University Medical Center, Nashville, TN, United States., Goodin BR; Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, United States.
Source: The journal of pain [J Pain] 2026 May; Vol. 42, pp. 106252. Date of Electronic Publication: 2026 Feb 26.
Publication Type: Journal Article
Journal Info: Publisher: Churchill Livingstone Country of Publication: United States NLM ID: 100898657 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-8447 (Electronic) Linking ISSN: 15265900 NLM ISO Abbreviation: J Pain Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1528-8447
DOI:10.1016/j.jpain.2026.106252