The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach

The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach

The study aims to create a preoperative model from baseline demographic and health-related quality of life scores (HRQOL) to predict a good to excellent early clinical outcome using a machine learning (ML) approach. A single spine surgery center retrospective review of prospectively collected data f...

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Bibliographic Details
Main Authors: Pedro Berjano, Francesco Langella, Luca Ventriglia, Domenico Compagnone, Paolo Barletta, David Huber, Francesca Mangili, Ginevra Licandro, Fabio Galbusera, Andrea Cina, Tito Bassani, Claudio Lamartina, Laura Scaramuzzo, Roberto Bassani, Marco Brayda-Bruno, Jorge Hugo Villafañe, Lorenzo Monti, Laura Azzimonti
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Personalized Medicine
Subjects:
artificial intelligence
lumbar fusion
degenerative disc disease
adult spine deformity
scoliosis
spine registry
Online Access:https://www.mdpi.com/2075-4426/11/12/1377

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