258 related articles for article (PubMed ID: 29500023)
1. Bayesian averaging over decision tree models: An application for estimating uncertainty in trauma severity scoring.
Schetinin V; Jakaite L; Krzanowski W
Int J Med Inform; 2018 Apr; 112():6-14. PubMed ID: 29500023
[TBL] [Abstract][Full Text] [Related]
2. Bayesian averaging over Decision Tree models for trauma severity scoring.
Schetinin V; Jakaite L; Krzanowski W
Artif Intell Med; 2018 Jan; 84():139-145. PubMed ID: 29275896
[TBL] [Abstract][Full Text] [Related]
3. Prediction of outcome in intensive care unit trauma patients: a multicenter study of Acute Physiology and Chronic Health Evaluation (APACHE), Trauma and Injury Severity Score (TRISS), and a 24-hour intensive care unit (ICU) point system.
Vassar MJ; Lewis FR; Chambers JA; Mullins RJ; O'Brien PE; Weigelt JA; Hoang MT; Holcroft JW
J Trauma; 1999 Aug; 47(2):324-9. PubMed ID: 10452468
[TBL] [Abstract][Full Text] [Related]
4. Bayesian Decision Trees for predicting survival of patients: a study on the US National Trauma Data Bank.
Schetinin V; Jakaite L; Jakaitis J; Krzanowski W
Comput Methods Programs Biomed; 2013 Sep; 111(3):602-12. PubMed ID: 23849498
[TBL] [Abstract][Full Text] [Related]
5. Improved predictions from a severity characterization of trauma (ASCOT) over Trauma and Injury Severity Score (TRISS): results of an independent evaluation.
Champion HR; Copes WS; Sacco WJ; Frey CF; Holcroft JW; Hoyt DB; Weigelt JA
J Trauma; 1996 Jan; 40(1):42-8; discussion 48-9. PubMed ID: 8576997
[TBL] [Abstract][Full Text] [Related]
6. Harborview assessment for risk of mortality: an improved measure of injury severity on the basis of ICD-9-CM.
West TA; Rivara FP; Cummings P; Jurkovich GJ; Maier RV
J Trauma; 2000 Sep; 49(3):530-40; discussion 540-1. PubMed ID: 11003333
[TBL] [Abstract][Full Text] [Related]
7. Comparison of modified Kampala trauma score with trauma mortality prediction model and trauma-injury severity score: A National Trauma Data Bank Study.
Akay S; Ozturk AM; Akay H
Am J Emerg Med; 2017 Aug; 35(8):1056-1059. PubMed ID: 28222915
[TBL] [Abstract][Full Text] [Related]
8. Survival prediction of trauma patients: a study on US National Trauma Data Bank.
Sefrioui I; Amadini R; Mauro J; El Fallahi A; Gabbrielli M
Eur J Trauma Emerg Surg; 2017 Dec; 43(6):805-822. PubMed ID: 28229175
[TBL] [Abstract][Full Text] [Related]
9. An artificial neural network as a model for prediction of survival in trauma patients: validation for a regional trauma area.
DiRusso SM; Sullivan T; Holly C; Cuff SN; Savino J
J Trauma; 2000 Aug; 49(2):212-20; discussion 220-3. PubMed ID: 10963531
[TBL] [Abstract][Full Text] [Related]
10. Has TRISS become an anachronism? A comparison of mortality between the National Trauma Data Bank and Major Trauma Outcome Study databases.
Rogers FB; Osler T; Krasne M; Rogers A; Bradburn EH; Lee JC; Wu D; McWilliams N; Horst MA
J Trauma Acute Care Surg; 2012 Aug; 73(2):326-31; discussion 331. PubMed ID: 22846935
[TBL] [Abstract][Full Text] [Related]
11. Factors associated with mortality in trauma: re-evaluation of the TRISS method using the National Trauma Data Bank.
Millham FH; LaMorte WW
J Trauma; 2004 May; 56(5):1090-6. PubMed ID: 15179251
[TBL] [Abstract][Full Text] [Related]
12. Trauma survival prediction in Asian population: a modification of TRISS to improve accuracy.
Chan CK; Yau KK; Cheung MT
Emerg Med J; 2014 Feb; 31(2):126-33. PubMed ID: 23314210
[TBL] [Abstract][Full Text] [Related]
13. 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.
Frankema SP; Steyerberg EW; Edwards MJ; van Vugt AB
J Trauma; 2005 Mar; 58(3):596-604. PubMed ID: 15761357
[TBL] [Abstract][Full Text] [Related]
14. Bayesian logistic injury severity score: a method for predicting mortality using international classification of disease-9 codes.
Burd RS; Ouyang M; Madigan D
Acad Emerg Med; 2008 May; 15(5):466-75. PubMed ID: 18439203
[TBL] [Abstract][Full Text] [Related]
15. External validation of the Norwegian survival prediction model in trauma after major trauma in Southern Finland.
Raj R; Brinck T; Skrifvars MB; Handolin L
Acta Anaesthesiol Scand; 2016 Jan; 60(1):48-58. PubMed ID: 26251159
[TBL] [Abstract][Full Text] [Related]
16. A new approach to outcome prediction in trauma: A comparison with the TRISS model.
Bouamra O; Wrotchford A; Hollis S; Vail A; Woodford M; Lecky F
J Trauma; 2006 Sep; 61(3):701-10. PubMed ID: 16967011
[TBL] [Abstract][Full Text] [Related]
17. The Applicability of Trauma and Injury Severity Score for a Blunt Trauma Population in Korea and a Proposal of New Models Using Score Predictors.
Jung K; Huh Y; Lee JC; Kim Y; Moon J; Youn SH; Kim J; Kim J; Kim H
Yonsei Med J; 2016 May; 57(3):728-34. PubMed ID: 26996574
[TBL] [Abstract][Full Text] [Related]
18. A simple mathematical modification of TRISS markedly improves calibration.
Osler TM; Rogers FB; Badger GJ; Healey M; Vane DW; Shackford SR
J Trauma; 2002 Oct; 53(4):630-4. PubMed ID: 12394858
[TBL] [Abstract][Full Text] [Related]
19. The Trauma and Injury Severity Score (TRISS) revised.
Schluter PJ
Injury; 2011 Jan; 42(1):90-6. PubMed ID: 20851394
[TBL] [Abstract][Full Text] [Related]
20. Contemporary New Zealand coefficients for the Trauma Injury Severity Score: TRISS(NZ).
Schluter PJ; Cameron CM; Davey TM; Civil I; Orchard J; Dansey R; Hamill J; Naylor H; James C; Dorrian J; Christey G; Pollard C; McClure RJ
N Z Med J; 2009 Sep; 122(1302):54-64. PubMed ID: 19834523
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
