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Derivation and out-of-sample validation of a modeling system to predict length of surgery

Derivation and out-of-sample validation of a modeling system to predict length of surgery

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1151700742

Derivation and out-of-sample validation of a modeling system to predict length of surgery

About this item

Full title

Derivation and out-of-sample validation of a modeling system to predict length of surgery

Publisher

New York, NY: Elsevier Inc

Journal title

The American journal of surgery, 2012-11, Vol.204 (5), p.563-568

Language

English

Formats

Publication information

Publisher

New York, NY: Elsevier Inc

More information

Scope and Contents

Contents

Abstract Background We performed a retrospective study to compare the precision of a regression model (RM) system with the precision of the standard method of surgical length prediction using historical means (HM). Methods Data were collected on patients who underwent carotid endarterectomy and lower-extremity bypass. Multiple linear regression was...

Alternative Titles

Full title

Derivation and out-of-sample validation of a modeling system to predict length of surgery

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1151700742

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1151700742

Other Identifiers

ISSN

0002-9610

E-ISSN

1879-1883

DOI

10.1016/j.amjsurg.2012.07.013

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