Literature DB >> 31677894

Machine Learning to Predict Acute Kidney Injury.

F Perry Wilson1.   

Abstract

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Year:  2019        PMID： 31677894      PMCID： PMC7735021          DOI： 10.1053/j.ajkd.2019.08.010

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN： 0272-6386            Impact factor:   8.860


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  9 in total

1.  The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Authors:  Jay L Koyner; Kyle A Carey; Dana P Edelson; Matthew M Churpek
Journal:  Crit Care Med       Date:  2018-07       Impact factor: 7.598

2.  Use of dopamine in acute renal failure: a meta-analysis.

Authors:  J A Kellum; J M Decker
Journal:  Crit Care Med       Date:  2001-08       Impact factor: 7.598

Review 3.  Loop diuretics in the management of acute renal failure: a systematic review and meta-analysis.

Authors:  Sean M Bagshaw; Anthony Delaney; Michael Haase; William A Ghali; Rinaldo Bellomo
Journal:  Crit Care Resusc       Date:  2007-03       Impact factor: 2.159

Review 4.  Urinary, Plasma, and Serum Biomarkers' Utility for Predicting Acute Kidney Injury Associated With Cardiac Surgery in Adults: A Meta-analysis.

Authors:  Julie Ho; Navdeep Tangri; Paul Komenda; Amit Kaushal; Manish Sood; Ranveer Brar; Kamal Gill; Simon Walker; Kerry MacDonald; Brett M Hiebert; Rakesh C Arora; Claudio Rigatto
Journal:  Am J Kidney Dis       Date:  2015-08-05       Impact factor: 8.860

5.  Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data.

Authors:  Hamid Mohamadlou; Anna Lynn-Palevsky; Christopher Barton; Uli Chettipally; Lisa Shieh; Jacob Calvert; Nicholas R Saber; Ritankar Das
Journal:  Can J Kidney Health Dis       Date:  2018-06-08

6.  Electronic Alerts for Acute Kidney Injury Amelioration (ELAIA-1): a completely electronic, multicentre, randomised controlled trial: design and rationale.

Authors:  Marina Mutter; Melissa Martin; Yu Yamamoto; Aditya Biswas; Boian Etropolski; Harold Feldman; Amit Garg; Noah Gourlie; Stephen Latham; Haiqun Lin; Paul M Palevsky; Chirag Parikh; Erica Moreira; Ugochukwu Ugwuowo; Francis P Wilson
Journal:  BMJ Open       Date:  2019-06-01       Impact factor: 2.692

7.  A clinically applicable approach to continuous prediction of future acute kidney injury.

Authors:  Trevor Back; Christopher Nielson; Joseph R Ledsam; Shakir Mohamed; Nenad Tomašev; Xavier Glorot; Jack W Rae; Michal Zielinski; Harry Askham; Andre Saraiva; Anne Mottram; Clemens Meyer; Suman Ravuri; Ivan Protsyuk; Alistair Connell; Cían O Hughes; Alan Karthikesalingam; Julien Cornebise; Hugh Montgomery; Geraint Rees; Chris Laing; Clifton R Baker; Kelly Peterson; Ruth Reeves; Demis Hassabis; Dominic King; Mustafa Suleyman
Journal:  Nature       Date:  2019-07-31       Impact factor: 49.962

8.  A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study.

Authors:  Michael Simonov; Ugochukwu Ugwuowo; Erica Moreira; Yu Yamamoto; Aditya Biswas; Melissa Martin; Jeffrey Testani; F Perry Wilson
Journal:  PLoS Med       Date:  2019-07-15       Impact factor: 11.069

9.  Using recurrent neural network models for early detection of heart failure onset.

Authors:  Edward Choi; Andy Schuetz; Walter F Stewart; Jimeng Sun
Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497
  9 in total
  4 in total

1.  Artificial intelligence in the management and treatment of burns: a systematic review.

Authors:  Francisco Serra E Moura; Kavit Amin; Chidi Ekwobi
Journal:  Burns Trauma       Date:  2021-08-19

Review 2.  Artificial Intelligence in Acute Kidney Injury Risk Prediction.

Authors:  Joana Gameiro; Tiago Branco; José António Lopes
Journal:  J Clin Med       Date:  2020-03-03       Impact factor: 4.241

3.  Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease.

Authors:  Xiaohong Zhang; Siying Chen; Kunmei Lai; Zhimin Chen; Jianxin Wan; Yanfang Xu
Journal:  Ren Fail       Date:  2022-12       Impact factor: 2.606

4.  A Simpler Machine Learning Model for Acute Kidney Injury Risk Stratification in Hospitalized Patients.

Authors:  Yirui Hu; Kunpeng Liu; Kevin Ho; David Riviello; Jason Brown; Alex R Chang; Gurmukteshwar Singh; H Lester Kirchner
Journal:  J Clin Med       Date:  2022-09-26       Impact factor: 4.964
  4 in total

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