Predicting surgical satisfaction using artificial neural networks

Anand I. Rughani; Travis M. Dumont; Bruce I. Tranmer

doi:10.3171/2013.10.SPINE13851

Predicting surgical satisfaction using artificial neural networks

Anand I. Rughani, Travis M. Dumont, Bruce I. Tranmer

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Pages (from-to)	298-299
Number of pages	2
Journal	Journal of Neurosurgery: Spine
Volume	20
Issue number	3
DOIs	https://doi.org/10.3171/2013.10.SPINE13851
State	Published - Mar 2014

ASJC Scopus subject areas

Surgery
Neurology
Clinical Neurology

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10.3171/2013.10.SPINE13851

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@article{d3ab6460d2f54ced9c6b38b5fc984c71,

title = "Predicting surgical satisfaction using artificial neural networks",

author = "Rughani, {Anand I.} and Dumont, {Travis M.} and Tranmer, {Bruce I.}",

year = "2014",

month = mar,

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language = "English (US)",

volume = "20",

pages = "298--299",

journal = "Journal of Neurosurgery: Spine",

issn = "1547-5654",

publisher = "American Association of Neurological Surgeons",

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AU - Rughani, Anand I.

AU - Dumont, Travis M.

AU - Tranmer, Bruce I.

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EP - 299

JO - Journal of Neurosurgery: Spine

JF - Journal of Neurosurgery: Spine

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Predicting surgical satisfaction using artificial neural networks

ASJC Scopus subject areas

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