Machine learning suggests sleep as a core factor in chronic pain.
Patients with chronic pain have complex pain profiles and associated problems. Subgroup analysis can help identify key problems. We used a data-based approach to define pain phenotypes and their most relevant associated problems in 320 patients undergoing tertiary pain management. Unsupervised machi...
| Publicado en: | PAIN Vol. 162; no. 1; pp. 109 - 124 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jan2021
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| Acceso en línea: | Ver este registro en EBSCOhost |