Development of a machine-learning based model for predicting multidimensional outcome after surgery for degenerative disorders of the spine.
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| Title: | Development of a machine-learning based model for predicting multidimensional outcome after surgery for degenerative disorders of the spine. |
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| Authors: | Müller D; Medcontrol AG, Liestal, Switzerland.; Spine Center Division, Department of Teaching, Research and Development, Schulthess Klinik, Lengghalde 2, 8008, Zurich, Switzerland., Haschtmann D; Department Spine Surgery and Neurosurgery, Schulthess Klinik, Zurich, Switzerland., Fekete TF; Department Spine Surgery and Neurosurgery, Schulthess Klinik, Zurich, Switzerland., Kleinstück F; Department Spine Surgery and Neurosurgery, Schulthess Klinik, Zurich, Switzerland., Reitmeir R; Department Spine Surgery and Neurosurgery, Schulthess Klinik, Zurich, Switzerland., Loibl M; Department Spine Surgery and Neurosurgery, Schulthess Klinik, Zurich, Switzerland., O'Riordan D; Spine Center Division, Department of Teaching, Research and Development, Schulthess Klinik, Lengghalde 2, 8008, Zurich, Switzerland., Porchet F; Department Spine Surgery and Neurosurgery, Schulthess Klinik, Zurich, Switzerland., Jeszenszky D; Department Spine Surgery and Neurosurgery, Schulthess Klinik, Zurich, Switzerland., Mannion AF; Spine Center Division, Department of Teaching, Research and Development, Schulthess Klinik, Lengghalde 2, 8008, Zurich, Switzerland. anne.mannion@yahoo.com. |
| 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] 2022 Aug; Vol. 31 (8), pp. 2125-2136. Date of Electronic Publication: 2022 Jul 14. |
| 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 |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-0932 |
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| DOI: | 10.1007/s00586-022-07306-8 |
