Literature DB >> 24526318

Recalibrating our prediction models in the ICU: time to move from the abacus to the computer.

Romain Pirracchio1, Otavio T Ranzani.   

Abstract

Mesh：

Year:  2014        PMID： 24526318     DOI： 10.1007/s00134-014-3231-x

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


× No keyword cloud information.
  10 in total

1.  Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.

Authors:  E W Steyerberg; F E Harrell; G J Borsboom; M J Eijkemans; Y Vergouwe; J D Habbema
Journal:  J Clin Epidemiol       Date:  2001-08       Impact factor: 6.437

2.  Using VLAD scores to have a look insight ICU performance: towards a modelling of the errors.

Authors:  Francesca Foltran; Paola Berchialla; Francesco Giunta; Paolo Malacarne; Franco Merletti; Dario Gregori
Journal:  J Eval Clin Pract       Date:  2010-08-15       Impact factor: 2.431

3.  Super learner.

Authors:  Mark J van der Laan; Eric C Polley; Alan E Hubbard
Journal:  Stat Appl Genet Mol Biol       Date:  2007-09-16

4.  Predicting hospital mortality for patients in the intensive care unit: a comparison of artificial neural networks with logistic regression models.

Authors:  G Clermont; D C Angus; S M DiRusso; M Griffin; W T Linde-Zwirble
Journal:  Crit Care Med       Date:  2001-02       Impact factor: 7.598

5.  Recalibration of the delirium prediction model for ICU patients (PRE-DELIRIC): a multinational observational study.

Authors:  M van den Boogaard; L Schoonhoven; E Maseda; C Plowright; C Jones; A Luetz; P V Sackey; P G Jorens; L M Aitken; F M P van Haren; R Donders; J G van der Hoeven; P Pickkers
Journal:  Intensive Care Med       Date:  2014-01-18       Impact factor: 17.440

6.  Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm.

Authors:  R Dybowski; P Weller; R Chang; V Gant
Journal:  Lancet       Date:  1996-04-27       Impact factor: 79.321

7.  Severe sepsis mortality prediction with relevance vector machines.

Authors:  Vicent J Ribas; Jesús Caballero López; Adolf Ruiz-Sanmartin; Juan Carlos Ruiz-Rodríguez; Jordi Rello; Anna Wojdel; Alfredo Vellido
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

8.  A Comparison of Intensive Care Unit Mortality Prediction Models through the Use of Data Mining Techniques.

Authors:  Sujin Kim; Woojae Kim; Rae Woong Park
Journal:  Healthc Inform Res       Date:  2011-12-31

9.  Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for intensive care patients: observational multicentre study.

Authors:  M van den Boogaard; P Pickkers; A J C Slooter; M A Kuiper; P E Spronk; P H J van der Voort; J G van der Hoeven; R Donders; T van Achterberg; L Schoonhoven
Journal:  BMJ       Date:  2012-02-09

10.  Predicting ICU survival: a meta-level approach.

Authors:  Lefteris G Gortzis; Filippos Sakellaropoulos; Ioannis Ilias; Konstantinos Stamoulis; Ioanna Dimopoulou
Journal:  BMC Health Serv Res       Date:  2008-07-26       Impact factor: 2.655
  10 in total
  4 in total

Review 1.  All-Cause Mortality Risk Prediction in Older Adults with Cancer: Practical Approaches and Limitations.

Authors:  Andrea Perez-de-Acha; Sophie Pilleron; Enrique Soto-Perez-de-Celis
Journal:  Curr Oncol Rep       Date:  2022-06-01       Impact factor: 5.075

2.  Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees.

Authors:  Jean Feng; Alexej Gossmann; Berkman Sahiner; Romain Pirracchio
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 4.497

3.  Clinical predictors of response to methotrexate in patients with rheumatoid arthritis: a machine learning approach using clinical trial data.

Authors:  Stephanie Q Duong; Cynthia S Crowson; Arjun Athreya; Elizabeth J Atkinson; John M Davis; Kenneth J Warrington; Eric L Matteson; Richard Weinshilboum; Liewei Wang; Elena Myasoedova
Journal:  Arthritis Res Ther       Date:  2022-07-01       Impact factor: 5.606

4.  Comparison of Multivariable Logistic Regression and Machine Learning Models for Predicting Bronchopulmonary Dysplasia or Death in Very Preterm Infants.

Authors:  Faiza Khurshid; Helen Coo; Amal Khalil; Jonathan Messiha; Joseph Y Ting; Jonathan Wong; Prakesh S Shah
Journal:  Front Pediatr       Date:  2021-12-07       Impact factor: 3.418
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.