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Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning
BACKGROUND: Machine-learning classifiers mostly offer good predictive performance and are increasingly used to support shared decision-making in clinical practice. Focusing on performance and practicability, this study evaluates prediction of patient-reported outcomes (PROs) by eight supervised clas...
Autores principales: | Huber, Manuel, Kurz, Christoph, Leidl, Reiner |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325823/ https://www.ncbi.nlm.nih.gov/pubmed/30621670 http://dx.doi.org/10.1186/s12911-018-0731-6 |
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