Literature DB >> 29474323

Rare Events in the ICU: An Emerging Challenge in Classification and Prediction.

Daniel E Leisman1.   

Abstract

Mesh：

Year:  2018        PMID： 29474323     DOI： 10.1097/CCM.0000000000002943

Source DB:  PubMed          Journal:  Crit Care Med        ISSN： 0090-3493            Impact factor:   7.598


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  11 in total

1.  An Evaluation of the Influence of Body Mass Index on Severity Scoring.

Authors:  Rodrigo Octavio Deliberato; Ary Serpa Neto; Matthieu Komorowski; David J Stone; Stephanie Q Ko; Lucas Bulgarelli; Carolina Rodrigues Ponzoni; Renato Carneiro de Freitas Chaves; Leo Anthony Celi; Alistair E W Johnson
Journal:  Crit Care Med       Date:  2019-02       Impact factor: 7.598

2.  Heart Rate Variability as a Biomarker of Neurocardiogenic Injury After Subarachnoid Hemorrhage.

Authors:  Murad Megjhani; Farhad Kaffashi; Kalijah Terilli; Ayham Alkhachroum; Behnaz Esmaeili; Kevin William Doyle; Santosh Murthy; Angela G Velazquez; E Sander Connolly; David Jinou Roh; Sachin Agarwal; Ken A Loparo; Jan Claassen; Amelia Boehme; Soojin Park
Journal:  Neurocrit Care       Date:  2020-02       Impact factor: 3.210

3.  A Machine Learning Classifier Improves Mortality Prediction Compared With Pediatric Logistic Organ Dysfunction-2 Score: Model Development and Validation.

Authors:  Remi D Prince; Alireza Akhondi-Asl; Nilesh M Mehta; Alon Geva
Journal:  Crit Care Explor       Date:  2021-05-17

4.  Using the Shapes of Clinical Data Trajectories to Predict Mortality in ICUs.

Authors:  Junchao Ma; Donald K K Lee; Michael E Perkins; Margaret A Pisani; Edieal Pinker
Journal:  Crit Care Explor       Date:  2019-04-17

5.  Prognostic models for predicting in-hospital paediatric mortality in resource-limited countries: a systematic review.

Authors:  Morris Ogero; Rachel Jelagat Sarguta; Lucas Malla; Jalemba Aluvaala; Ambrose Agweyu; Mike English; Nelson Owuor Onyango; Samuel Akech
Journal:  BMJ Open       Date:  2020-10-19       Impact factor: 2.692

6.  On Missingness Features in Machine Learning Models for Critical Care: Observational Study.

Authors:  Janmajay Singh; Masahiro Sato; Tomoko Ohkuma
Journal:  JMIR Med Inform       Date:  2021-12-08

7.  Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists.

Authors:  Patrick J Thoral; Mattia Fornasa; Daan P de Bruin; Michele Tonutti; Hidde Hovenkamp; Ronald H Driessen; Armand R J Girbes; Mark Hoogendoorn; Paul W G Elbers
Journal:  Crit Care Explor       Date:  2021-09-10

Review 8.  The principles of whole-hospital predictive analytics monitoring for clinical medicine originated in the neonatal ICU.

Authors:  J Randall Moorman
Journal:  NPJ Digit Med       Date:  2022-03-31

9.  Development and Reporting of Prediction Models: Guidance for Authors From Editors of Respiratory, Sleep, and Critical Care Journals.

Authors:  Daniel E Leisman; Michael O Harhay; David J Lederer; Michael Abramson; Alex A Adjei; Jan Bakker; Zuhair K Ballas; Esther Barreiro; Scott C Bell; Rinaldo Bellomo; Jonathan A Bernstein; Richard D Branson; Vito Brusasco; James D Chalmers; Sudhansu Chokroverty; Giuseppe Citerio; Nancy A Collop; Colin R Cooke; James D Crapo; Gavin Donaldson; Dominic A Fitzgerald; Emma Grainger; Lauren Hale; Felix J Herth; Patrick M Kochanek; Guy Marks; J Randall Moorman; David E Ost; Michael Schatz; Aziz Sheikh; Alan R Smyth; Iain Stewart; Paul W Stewart; Erik R Swenson; Ronald Szymusiak; Jean-Louis Teboul; Jean-Louis Vincent; Jadwiga A Wedzicha; David M Maslove
Journal:  Crit Care Med       Date:  2020-05       Impact factor: 7.598

10.  Pathophysiologic Signature of Impending ICU Hypoglycemia in Bedside Monitoring and Electronic Health Record Data: Model Development and External Validation.

Authors:  William B Horton; Andrew J Barros; Robert T Andris; Matthew T Clark; J Randall Moorman
Journal:  Crit Care Med       Date:  2022-03-01       Impact factor: 7.598
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