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    Results: 1 to 20 of 120

    1.

    Artificial neural networks as prediction tools in the critically ill.

    Clermont G.

    Crit Care. 2005 Apr;9(2):153-4. Epub 2005 Mar 3.PMID: 15774070 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room.

    Jaimes F, Farbiarz J, Alvarez D, Martínez C.

    Crit Care. 2005 Apr;9(2):R150-6. Epub 2005 Feb 17.PMID: 15774048 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks.

    Nilsson J, Ohlsson M, Thulin L, Höglund P, Nashef SA, Brandt J.

    J Thorac Cardiovasc Surg. 2006 Jul;132(1):12-9.PMID: 16798296 [PubMed - indexed for MEDLINE]Related articles

    4.

    Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation.

    Harrison RF, Kennedy RL.

    Ann Emerg Med. 2005 Nov;46(5):431-9.PMID: 16271675 [PubMed - indexed for MEDLINE]Related articles

    5.

    Comparison of artificial neural networks with logistic regression in prediction of gallbladder disease among obese patients.

    Liew PL, Lee YC, Lin YC, Lee TS, Lee WJ, Wang W, Chien CW.

    Dig Liver Dis. 2007 Apr;39(4):356-62. Epub 2007 Feb 20.PMID: 17317348 [PubMed - indexed for MEDLINE]Related articles

    6.

    Predicting adverse outcomes of cardiac surgery with the application of artificial neural networks.

    Peng SY, Peng SK.

    Anaesthesia. 2008 Jul;63(7):705-13.PMID: 18582255 [PubMed - indexed for MEDLINE]Related articles

    7.

    A comparison of MICU survival prediction using the logistic regression model and artificial neural network model.

    Lin SP, Lee CH, Lu YS, Hsu LN.

    J Nurs Res. 2006 Dec;14(4):306-14.PMID: 17345760 [PubMed - indexed for MEDLINE]Related articles

    8.

    Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes.

    Tu JV.

    J Clin Epidemiol. 1996 Nov;49(11):1225-31. Review.PMID: 8892489 [PubMed - indexed for MEDLINE]Related articles

    9.

    Acute and long-term survival in chronically critically ill surgical patients: a retrospective observational study.

    Hartl WH, Wolf H, Schneider CP, Küchenhoff H, Jauch KW.

    Crit Care. 2007;11(3):R55.PMID: 17504535 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    Prospective cohort study comparing sequential organ failure assessment and acute physiology, age, chronic health evaluation III scoring systems for hospital mortality prediction in critically ill cirrhotic patients.

    Chen YC, Tian YC, Liu NJ, Ho YP, Yang C, Chu YY, Chen PC, Fang JT, Hsu CW, Yang CW, Tsai MH.

    Int J Clin Pract. 2006 Feb;60(2):160-6.PMID: 16451287 [PubMed - indexed for MEDLINE]Related articles

    11.

    Using neural networks to predict the onset of diabetes mellitus.

    Shanker MS.

    J Chem Inf Comput Sci. 1996 Jan-Feb;36(1):35-41.PMID: 8576289 [PubMed - indexed for MEDLINE]Related articles

    12.

    The accuracy of artificial neural networks in predicting long-term outcome after traumatic brain injury.

    Segal ME, Goodman PH, Goldstein R, Hauck W, Whyte J, Graham JW, Polansky M, Hammond FM.

    J Head Trauma Rehabil. 2006 Jul-Aug;21(4):298-314.PMID: 16915007 [PubMed - indexed for MEDLINE]Related articles

    13.

    Mortality risk factors and validation of severity scoring systems in critically ill patients with acute renal failure.

    Lima EQ, Dirce MT, Castro I, Yu L.

    Ren Fail. 2005;27(5):547-56.PMID: 16152992 [PubMed - indexed for MEDLINE]Related articles

    14.

    Development of river ecosystem models for Flemish watercourses: case studies in the Zwalm river basin.

    Goethals P, Dedecker A, Raes N, Adriaenssens V, Gabriels W, De Pauw N.

    Meded Rijksuniv Gent Fak Landbouwkd Toegep Biol Wet. 2001;66(1):71-86.PMID: 15952431 [PubMed - indexed for MEDLINE]Related articles

    15.

    A critical appraisal of logistic regression-based nomograms, artificial neural networks, classification and regression-tree models, look-up tables and risk-group stratification models for prostate cancer.

    Chun FK, Karakiewicz PI, Briganti A, Walz J, Kattan MW, Huland H, Graefen M.

    BJU Int. 2007 Apr;99(4):794-800.PMID: 17378842 [PubMed - indexed for MEDLINE]Related articles

    16.

    Predicting the risk of death in patients in intensive care unit.

    Saadat-Niaki A, Abtahi D.

    Arch Iran Med. 2007 Jul;10(3):321-6.PMID: 17604468 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    Impact of invasive fungal infection on outcomes of severe sepsis: a multicenter matched cohort study in critically ill surgical patients.

    Xie GH, Fang XM, Fang Q, Wu XM, Jin YH, Wang JL, Guo QL, Gu MN, Xu QP, Wang DX, Yao SL, Yuan SY, Du ZH, Sun YB, Wang HH, Wu SJ, Cheng BL.

    Crit Care. 2008;12(1):R5. Epub 2008 Jan 16.PMID: 18199317 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Evaluation of an artificial neural network to predict urea nitrogen appearance for critically ill multiple-trauma patients.

    Dickerson RN, Mason DL, Croce MA, Minard G, Brown RO.

    JPEN J Parenter Enteral Nutr. 2005 Nov-Dec;29(6):429-35.PMID: 16224036 [PubMed - indexed for MEDLINE]Related articles

    19.

    Septic acute kidney injury in critically ill patients: clinical characteristics and outcomes.

    Bagshaw SM, Uchino S, Bellomo R, Morimatsu H, Morgera S, Schetz M, Tan I, Bouman C, Macedo E, Gibney N, Tolwani A, Oudemans-van Straaten HM, Ronco C, Kellum JA; Beginning and Ending Supportive Therapy for the Kidney (BEST Kidney) Investigators.

    Clin J Am Soc Nephrol. 2007 May;2(3):431-9. Epub 2007 Mar 21.PMID: 17699448 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    Hybrid outcome prediction model for severe traumatic brain injury.

    Pang BC, Kuralmani V, Joshi R, Hongli Y, Lee KK, Ang BT, Li J, Leong TY, Ng I.

    J Neurotrauma. 2007 Jan;24(1):136-46.PMID: 17263677 [PubMed - indexed for MEDLINE]Related articles

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