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DiRusso SM, Sullivan T, Holly C, et al. 
An artificial neural network as a model for prediction of survival in trauma patients: validation for a regional trauma area. [Journal Article, Multicenter Study]
J Trauma 2000 Aug; 49(2):212-20; discussion 220-3.
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Rutledge R 
Injury severity and probability of survival assessment in trauma patients using a predictive hierarchical network model derived from ICD-9 codes. [Journal Article]
J Trauma 1995 Apr; 38(4):590-7; discussion 597-601.
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Rutledge R, Hoyt DB, Eastman AB, et al. 
Comparison of the Injury Severity Score and ICD-9 diagnosis codes as predictors of outcome in injury: analysis of 44,032 patients. [Journal Article]
J Trauma 1997 Mar; 42(3):477-87; discussion 487-9.
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DiRusso SM, Chahine AA, Sullivan T, et al. 
Development of a model for prediction of survival in pediatric trauma patients: comparison of artificial neural networks and logistic regression. [Journal Article]
J Pediatr Surg 2002 Jul; 37(7):1098-104; discussion 1098-104.
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Frankema SP, Steyerberg EW, Edwards MJ, et al. 
Comparison of current injury scales for survival chance estimation: an evaluation comparing the predictive performance of the ISS, NISS, and AP scores in a Dutch local trauma registration. [Evaluation Studies, Journal Article]
J Trauma 2005 Mar; 58(3):596-604.
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West TA, Rivara FP, Cummings P, et al. 
Harborview assessment for risk of mortality: an improved measure of injury severity on the basis of ICD-9-CM. [Journal Article]
J Trauma 2000 Sep; 49(3):530-40; discussion 540-1.
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Bouamra O, Wrotchford A, Hollis S, et al. 
A new approach to outcome prediction in trauma: A comparison with the TRISS model. [Journal Article]
J Trauma 2006 Sep; 61(3):701-10.
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Kuhls DA, Malone DL, McCarter RJ, et al. 
Predictors of mortality in adult trauma patients: the physiologic trauma score is equivalent to the Trauma and Injury Severity Score. [Journal Article]
J Am Coll Surg 2002 Jun; 194(6):695-704.
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Rutledge R, Osler T, Emery S, et al. 
The end of the Injury Severity Score (ISS) and the Trauma and Injury Severity Score (TRISS): ICISS, an International Classification of Diseases, ninth revision-based prediction tool, outperforms both ISS and TRISS as predictors of trauma patient survival, hospital charges, and hospital length of stay. [Journal Article]
J Trauma 1998 Jan; 44(1):41-9.
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