Development of a machine-learning based model for predicting multidimensional outcome after surgery for degenerative disorders of the spine.
D MüllerD HaschtmannTamas F FeketeF KleinstückR ReitmeirMarkus LoiblD O'RiordanF PorchetD JeszenszkyAnne F MannionPublished in: 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 (2022)
The models provided estimates to enable a bespoke prediction of the outcome of surgery for individual patients with varying degenerative pathologies and baseline characteristics. The models form the basis of a simple, freely-available online prognostic tool developed to improve access to and usability of prognostic information in clinical practice. It is hoped that, following confirmation of its validity and practical utility, the tool will ultimately serve to facilitate decision-making and the management of patients' expectations.