Supervised Machine Learning for Predicting Length of Stay After Lumbar Arthrodesis: A Comprehensive Artificial Intelligence Approach.
Introduction: Few studies have evaluated the utility of machine learning techniques to predict and classify outcomes, such as length of stay (LOS), for lumbar fusion patients. Six supervised machine learning algorithms may be able to predict and classify whether a patient will experience a short or...
| Publicado en: | Journal of the American Academy of Orthopaedic Surgeons Vol. 30; no. 3; pp. 125 - 133 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Feb2022
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| Acceso en línea: | Ver este registro en EBSCOhost |