Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort. Issue 4 (15th September 2020)

Record Type:
Journal Article
Title:
Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort. Issue 4 (15th September 2020)
Main Title:
Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort
Authors:
Martini, Michael L
Neifert, Sean N
Oermann, Eric K
Gal, Jonathan
Rajan, Kanaka
Nistal, Dominic A
Caridi, John M
Abstract:
Is Part Of:
Neurosurgery. Volume 87:Issue 4(2020)
Journal:
Neurosurgery
Issue:
Volume 87:Issue 4(2020)
Issue Display:
Volume 87, Issue 4 (2020)
Year:
2020
Volume:
87
Issue:
4
Issue Sort Value:
2020-0087-0004-0000
Page Start:
Page End:
Publication Date:
2020-09-15
Subjects:
Machine learning -- Feature importance -- Principal components analysis -- Outcomes prediction -- Classification -- Hospital readmission -- Spine surgery
Nervous system -- Surgery -- Periodicals
617.48005
Journal URLs:
https://academic.oup.com/neurosurgery ↗
http://www.neurosurgery-online.com ↗
https://journals.lww.com/neurosurgery/pages/default.aspx ↗
http://journals.lww.com ↗
DOI:
10.1093/neuros/nyaa136 ↗
Languages:
English
ISSNs:
0148-396X
Deposit Type:
Legaldeposit
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library DSC - 6081.582000
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Ingest File:
14956.xml