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Berjano P, Langella F, Ventriglia L, Compagnone D, Barletta P, Huber D, Mangili F, Licandro G, Galbusera F, Cina A, et al. The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach. Journal of Personalized Medicine. 2021; 11(12):1377. https://doi.org/10.3390/jpm11121377

Berjano, Pedro, Francesco Langella, Luca Ventriglia, Domenico Compagnone, Paolo Barletta, David Huber, Francesca Mangili, Ginevra Licandro, Fabio Galbusera, Andrea Cina, and et al. 2021. "The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach" Journal of Personalized Medicine 11, no. 12: 1377. https://doi.org/10.3390/jpm11121377

Berjano, P., Langella, F., Ventriglia, L., Compagnone, D., Barletta, P., Huber, D., Mangili, F., Licandro, G., Galbusera, F., Cina, A., Bassani, T., Lamartina, C., Scaramuzzo, L., Bassani, R., Brayda-Bruno, M., Villafañe, J. H., Monti, L., & Azzimonti, L. (2021). The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach. Journal of Personalized Medicine, 11(12), 1377. https://doi.org/10.3390/jpm11121377