Commentary: Machine learning with feature domains elucidates candidate drivers of hospital readmission following spine surgery in a large single-center patient cohort

Rafael M. De La Garza Ramos; Reza Yassari

doi:10.1093/neuros/nyaa209

Commentary: Machine learning with feature domains elucidates candidate drivers of hospital readmission following spine surgery in a large single-center patient cohort

Rafael M. De La Garza Ramos, Reza Yassari

Neurological Surgery

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English (US)
Pages (from-to)	E511-E512
Journal	Neurosurgery
Volume	87
Issue number	4
DOIs	https://doi.org/10.1093/neuros/nyaa209
State	Published - Oct 1 2020

ASJC Scopus subject areas

General Medicine

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10.1093/neuros/nyaa209

Cite this

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title = "Commentary: Machine learning with feature domains elucidates candidate drivers of hospital readmission following spine surgery in a large single-center patient cohort",

author = "{De La Garza Ramos}, {Rafael M.} and Reza Yassari",

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Commentary: Machine learning with feature domains elucidates candidate drivers of hospital readmission following spine surgery in a large single-center patient cohort

ASJC Scopus subject areas

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