Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 From Big Data to Artificial Intelligence: Harnessing Data Routinely Collected in the Process of Care.

Literature DB >> 29337803

From Big Data to Artificial Intelligence: Harnessing Data Routinely Collected in the Process of Care.

Barret Rush¹, David J Stone, Leo Anthony Celi.

Abstract

Entities: Chemical Disease Species

Mesh：

Year: 2018 PMID： 29337803 PMCID： PMC5772897 DOI： 10.1097/CCM.0000000000002892

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

× No keyword cloud information.

13 in total

1. Variable tidal volumes improve lung protective ventilation strategies in experimental lung injury.

Authors: Peter M Spieth; Alysson R Carvalho; Paolo Pelosi; Catharina Hoehn; Christoph Meissner; Michael Kasper; Matthias Hübler; Matthias von Neindorff; Constanze Dassow; Martina Barrenschee; Stefan Uhlig; Thea Koch; Marcelo Gama de Abreu
Journal: Am J Respir Crit Care Med Date: 2009-01-16 Impact factor: 21.405

2. "Big data" in the intensive care unit. Closing the data loop.

Authors: Leo Anthony Celi; Roger G Mark; David J Stone; Robert A Montgomery
Journal: Am J Respir Crit Care Med Date: 2013-06-01 Impact factor: 21.405

3. Lost in Thought - The Limits of the Human Mind and the Future of Medicine.

Authors: Ziad Obermeyer; Thomas H Lee
Journal: N Engl J Med Date: 2017-09-28 Impact factor: 91.245

4. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors: Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal: JAMA Date: 2016-12-13 Impact factor: 56.272

5. Preparing a New Generation of Clinicians for the Era of Big Data.

Authors: Ari Moskowitz; Jakob McSparron; David J Stone; Leo Anthony Celi
Journal: Harv Med Stud Rev Date: 2015-01

Review 6. Evidence for Health Decision Making - Beyond Randomized, Controlled Trials.

Authors: Thomas R Frieden
Journal: N Engl J Med Date: 2017-08-03 Impact factor: 91.245

7. Effects of propofol on patient-ventilator synchrony and interaction during pressure support ventilation and neurally adjusted ventilatory assist.

Authors: Rosanna Vaschetto; Gianmaria Cammarota; Davide Colombo; Federico Longhini; Francesca Grossi; Andrea Giovanniello; Francesco Della Corte; Paolo Navalesi
Journal: Crit Care Med Date: 2014-01 Impact factor: 7.598

8. The Association Between Ventilator Dyssynchrony, Delivered Tidal Volume, and Sedation Using a Novel Automated Ventilator Dyssynchrony Detection Algorithm.

Authors: Peter D Sottile; David Albers; Carrie Higgins; Jeffery Mckeehan; Marc M Moss
Journal: Crit Care Med Date: 2018-02 Impact factor: 7.598

9. Impact of ventilator adjustment and sedation-analgesia practices on severe asynchrony in patients ventilated in assist-control mode.

Authors: Gerald Chanques; John P Kress; Anne Pohlman; Shruti Patel; Jason Poston; Samir Jaber; Jesse B Hall
Journal: Crit Care Med Date: 2013-09 Impact factor: 7.598

From Big Data to Artificial Intelligence: Harnessing Data Routinely Collected in the Process of Care.

1. Variable tidal volumes improve lung protective ventilation strategies in experimental lung injury.

2. "Big data" in the intensive care unit. Closing the data loop.

3. Lost in Thought - The Limits of the Human Mind and the Future of Medicine.

4. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

5. Preparing a New Generation of Clinicians for the Era of Big Data.

Review 6. Evidence for Health Decision Making - Beyond Randomized, Controlled Trials.

7. Effects of propofol on patient-ventilator synchrony and interaction during pressure support ventilation and neurally adjusted ventilatory assist.

8. The Association Between Ventilator Dyssynchrony, Delivered Tidal Volume, and Sedation Using a Novel Automated Ventilator Dyssynchrony Detection Algorithm.

9. Impact of ventilator adjustment and sedation-analgesia practices on severe asynchrony in patients ventilated in assist-control mode.

Review 10. State of the art review: the data revolution in critical care.

Review 1. Applying machine learning to continuously monitored physiological data.

2. Do Hyponatremia or Its Underlying Mechanisms Associate With Mortality Risk in Observational Data?

3. Machine learning-based prediction of transfusion.

4. Novel criteria to classify ARDS severity using a machine learning approach.