Development of machine learning models for predicting patient-perceived benefit following lumbar disc herniation or spinal stenosis surgery.

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Bibliographic Details
Title: Development of machine learning models for predicting patient-perceived benefit following lumbar disc herniation or spinal stenosis surgery.
Authors: Toh ZA; Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. e0191325@u.nus.edu.; National University Health System, Singapore, Singapore. e0191325@u.nus.edu., Thambawita V; Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering, Oslo, Norway., Grotle M; Department of Rehabilitation Science and Health Technology, OsloMet - Oslo Metropolitan University, Oslo, Norway.; Department of Research and Innovation, Oslo University Hospital, Oslo, Norway., He HG; Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; National University Health System, Singapore, Singapore., Pikkarainen M; Department of Rehabilitation Science and Health Technology, OsloMet - Oslo Metropolitan University, Oslo, Norway.; Martti Ahtisaari Institute, University of Oulu, Oulu, Finland., Hey HWD; Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; National University Health System, Singapore, Singapore., Solberg T; Department of Neurosurgery and The Norwegian Registry for Spine Surgery, University Hospital of North Norway, Tromsø, Norway.; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway., Ingebrigtsen T; Department of Neurosurgery and The Norwegian Registry for Spine Surgery, University Hospital of North Norway, Tromsø, Norway.; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway., Berg B; Department of Rehabilitation Science and Health Technology, OsloMet - Oslo Metropolitan University, Oslo, Norway. bjornarb@oslomet.no.
Source: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society [Eur Spine J] 2026 Feb; Vol. 35 (2), pp. 591-605. Date of Electronic Publication: 2025 Sep 15.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9301980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0932 (Electronic) Linking ISSN: 09406719 NLM ISO Abbreviation: Eur Spine J Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1432-0932
DOI:10.1007/s00586-025-09304-y