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...

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Detalles Bibliográficos
Autores principales: Huber, Manuel, Kurz, Christoph, Leidl, Reiner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
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

Internet

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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