Literature DB >> 19322183

Transplantation: neural networks for predicting graft survival.

Bruce Kaplan, Jesse Schold.   

Abstract

Mesh：

Year:  2009        PMID： 19322183     DOI： 10.1038/nrneph.2009.24

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN： 1759-5061            Impact factor:   28.314


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  7 in total

1.  Lack of improvement in renal allograft survival despite a marked decrease in acute rejection rates over the most recent era.

Authors:  Herwig-Ulf Meier-Kriesche; Jesse D Schold; Titte R Srinivas; Bruce Kaplan
Journal:  Am J Transplant       Date:  2004-03       Impact factor: 8.086

2.  Comparison of Cox regression with other methods for determining prediction models and nomograms.

Authors:  Michael W Kattan
Journal:  J Urol       Date:  2003-12       Impact factor: 7.450

3.  Prediction models assessing transplant center performance: can a little knowledge be a dangerous thing?

Authors:  J D Schold; R J Howard
Journal:  Am J Transplant       Date:  2006-02       Impact factor: 8.086

Review 4.  Comparison of nomograms with other methods for predicting outcomes in prostate cancer: a critical analysis of the literature.

Authors:  Shahrokh F Shariat; Pierre I Karakiewicz; Nazareno Suardi; Michael W Kattan
Journal:  Clin Cancer Res       Date:  2008-07-15       Impact factor: 12.531

5.  Calculating life years from transplant (LYFT): methods for kidney and kidney-pancreas candidates.

Authors:  R A Wolfe; K P McCullough; D E Schaubel; J D Kalbfleisch; S Murray; M D Stegall; A B Leichtman
Journal:  Am J Transplant       Date:  2008-04       Impact factor: 8.086

6.  Prediction of graft survival of living-donor kidney transplantation: nomograms or artificial neural networks?

Authors:  Ahmed Akl; Amani M Ismail; Mohamed Ghoneim
Journal:  Transplantation       Date:  2008-11-27       Impact factor: 4.939

7.  Poor predictive value of serum creatinine for renal allograft loss.

Authors:  Bruce Kaplan; Jesse Schold; Herwig-Ulf Meier-Kriesche
Journal:  Am J Transplant       Date:  2003-12       Impact factor: 8.086
  7 in total
  7 in total

Review 1.  Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Authors:  Thomas F Mueller; Kim Solez; Valeria Mas
Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

2.  Identification of biomarkers to assess organ quality and predict posttransplantation outcomes.

Authors:  Mariano J Scian; Daniel G Maluf; Kellie J Archer; Stephen D Turner; Jihee L Suh; Krystle G David; Anne L King; Marc P Posner; Kenneth L Brayman; Valeria R Mas
Journal:  Transplantation       Date:  2012-10-27       Impact factor: 4.939

3.  Candidacy for kidney transplantation of older adults.

Authors:  Morgan E Grams; Lauren M Kucirka; Colleen F Hanrahan; Robert A Montgomery; Allan B Massie; Dorry L Segev
Journal:  J Am Geriatr Soc       Date:  2012-01       Impact factor: 5.562

4.  Predicting the Kidney Graft Survival Using Optimized African Buffalo-Based Artificial Neural Network.

Authors:  Riddhi Chawla; S Balaji; Raed N Alabdali; Ibrahim A Naguib; Nadir O Hamed; Heba Y Zahran
Journal:  J Healthc Eng       Date:  2022-05-14       Impact factor: 3.822

5.  Pretransplant prediction of posttransplant survival for liver recipients with benign end-stage liver diseases: a nonlinear model.

Authors:  Ming Zhang; Fei Yin; Bo Chen; You Ping Li; Lu Nan Yan; Tian Fu Wen; Bo Li
Journal:  PLoS One       Date:  2012-03-01       Impact factor: 3.240

6.  Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index.

Authors:  Sameera Senanayake; Sanjeewa Kularatna; Helen Healy; Nicholas Graves; Keshwar Baboolal; Matthew P Sypek; Adrian Barnett
Journal:  BMC Med Res Methodol       Date:  2021-06-21       Impact factor: 4.615

7.  Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study.

Authors:  Sameera Senanayake; Adrian Barnett; Nicholas Graves; Helen Healy; Keshwar Baboolal; Sanjeewa Kularatna
Journal:  F1000Res       Date:  2019-10-29
  7 in total

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