Multivariable prediction models for health care spending using machine learning: a protocol of a systematic review

BACKGROUND: With rising cost pressures on health care systems, machine-learning (ML)-based algorithms are increasingly used to predict health care costs. Despite their potential advantages, the successful implementation of these methods could be undermined by biases introduced in the design, conduct...

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Detalles Bibliográficos
Autores principales: Huang, Andrew W., Haslberger, Martin, Coulibaly, Neto, Galárraga, Omar, Oganisian, Arman, Belbasis, Lazaros, Panagiotou, Orestis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943988/
https://www.ncbi.nlm.nih.gov/pubmed/35321760
http://dx.doi.org/10.1186/s41512-022-00119-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943988/
https://www.ncbi.nlm.nih.gov/pubmed/35321760
http://dx.doi.org/10.1186/s41512-022-00119-9

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