About: Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients

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About: Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients Goto Sponge NotDistinct Permalink

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scientific article published on 01 November 2018

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в листопаді 2018 (uk) article scientifique publié en 2018 (fr) artículu científicu espublizáu en payares de 2018 (ast) scientific article published on 01 November 2018 (en)
publication date	wds:Q93215161-44031F92-FABF-4F6B-84F4-648F50A2F3A1
publication date	2018-11-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q93215161-040A67CB-2717-4F57-B739-A87EAFCDD749 wds:Q93215161-16881888-9501-4D11-B326-AF02797FD826 wds:Q93215161-34C0E089-5516-4497-998F-820DFFF552A6 wds:Q93215161-3B2C14DB-F52D-4001-924B-4961B6114285 wds:Q93215161-70B83498-BA0B-4E6D-9C62-EB0042A3B1AB wds:Q93215161-F76BCEB6-4201-465F-9B8D-1EB2BDC9D0D3
author name string	Robert A Hart Christopher P Ames Justin S Smith Frank Schwab Douglas C Burton Taemin Oh
rdfs:label	Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients (en) Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients (nl)
skos:prefLabel	Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients (en) Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients (nl)
name	Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients (en) Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients (nl)
author	wds:Q93215161-0FB64A7C-FC55-486A-AD3B-C25353D72833 wds:Q93215161-202C7A6A-4CC0-4ED2-BE12-7793D310AE24 wds:Q93215161-3026D312-DD9C-494D-BAE3-69639DA8D0DD wds:Q93215161-30702125-00F9-4EA4-A6CD-C2A5EE255457 wds:Q93215161-38BD0BCB-2647-4454-AA41-CA31D90567E5 wds:Q93215161-6DB849AA-BE12-4A52-A582-B7FEAF83F353 wds:Q93215161-766D265E-21C1-44D1-ACE3-46FE458353CA wds:Q93215161-B76877D8-E00D-4FE1-AABE-9050781A3ECA wds:Q93215161-C3663818-B28B-4815-99AF-8EBA899E58EE wds:Q93215161-C5BEE285-3896-45EC-9AE7-6161B646722B wds:Q93215161-D17A2101-1398-48F7-911A-0726328F7F70 wds:Q93215161-D4043860-A5BF-42B4-9845-F105E694FE01
author	Eric O. Klineberg Shay Bess Justin Scheer Renaud Lafage Themistocles S Protopsaltis Christopher I Shaffrey Virginie Lafage Peter Gust Passias Daniel M Sciubba International Spine Study Group D Kojo Hamilton Alan H Daniels
title	wds:Q93215161-63B07D46-6826-4ECA-B18B-67B10E567383
title	Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients (en)
page(s)	wds:Q93215161-7B9AB867-3337-487B-8E18-558631CE0CAA
page(s)	E11
instance of	wds:Q93215161-EC0FAC22-855A-4184-B066-94B03FCB24DF
instance of	scholarly article
PubMed ID	wds:Q93215161-49CDDBA6-A4D0-438F-A34B-9E6B758206E7
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/30453452
PubMed ID	30453452
published in	wds:Q93215161-917B93FC-5141-426E-A01F-11EA107F919F
published in	Neurosurgical Focus
issue	wds:Q93215161-BECAC6F4-706D-449E-93CA-08011169A2FB
volume	wds:Q93215161-6950C7C9-EB62-43B3-8EF8-21A66985FAC0
issue	5
volume	45
DOI	wds:Q93215161-47254DE1-E12C-4E96-A9BB-0910085DA7BA
DOI	http://dx.doi.org/10.3171/2018.8.FOCUS18246
DOI	10.3171/2018.8.FOCUS18246
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q93215161
is cites work of	Predictive Model for Selection of Upper Treated Vertebra Using a Machine Learning Approach Artificial Intelligence for Adult Spinal Deformity Allogenic Stem Cells in Spinal Fusion: A Systematic Review.
is cites work of	wds:Q100941279-B0B0A573-9108-4A9B-8516-7EB81054F197 wds:Q92439978-890A4233-4B07-40A4-A8C0-5C70001EE5F3 wds:Q64886672-7673AA74-8069-484B-B6BD-C39055BFA828

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