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

Author
KOUGIAS, Panagiotis1 ; TIWARI, Vikram2 ; ORCUTT, Sonia1 ; CHEN, Amber1 ; PISIMISIS, George1 ; BARSHES, Neal R1 ; BECHARA, Carlos F1 ; BERGER, David H1
[1] Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston Veterans Affairs Medical Center, 2002 Holcombe Blvd., OCL-112, Houston, TX 77030, United States
[2] Vanderbilt University, Nashville, TN, United States
Source

The American journal of surgery. 2012, Vol 204, Num 5, pp 563-568, 6 p ; ref : 20 ref

CODEN
AJSUAB
ISSN
0002-9610
Scientific domain
General medicine general surgery
Publisher
Elsevier, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Modeling Operative length Precision Regression
Keyword (fr)
Chirurgie Facteur prédictif Longueur Modélisation Médecine Prédiction Régression Traitement Validation test
Keyword (en)
Surgery Predictive factor Length Modeling Medicine Prediction Regression Treatment Test validation
Keyword (es)
Cirugía Factor predictivo Longitud Modelización Medicina Predicción Regresión Tratamiento Validación prueba
Classification
Pascal
002 Biological and medical sciences / 002B Medical sciences / 002B01 General aspects

Discipline
Generalities in medical sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
26641189

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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