Literature DB >> 29279970

What's new in ICU in 2050: big data and machine learning.

Sébastien Bailly1,2,3, Geert Meyfroidt4,5, Jean-François Timsit6,7.   

Abstract

Mesh：

Year:  2017        PMID： 29279970     DOI： 10.1007/s00134-017-5034-3

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


× No keyword cloud information.
  16 in total

1.  Fusing Randomized Trials With Big Data: The Key to Self-learning Health Care Systems?

Authors:  Derek C Angus
Journal:  JAMA       Date:  2015-08-25       Impact factor: 56.272

2.  Tolerating Uncertainty - The Next Medical Revolution?

Authors:  Arabella L Simpkin; Richard M Schwartzstein
Journal:  N Engl J Med       Date:  2016-11-03       Impact factor: 91.245

Review 3.  The intensive care medicine research agenda on septic shock.

Authors:  Anders Perner; Anthony C Gordon; Derek C Angus; Francois Lamontagne; Flavia Machado; James A Russell; Jean-Francois Timsit; John C Marshall; John Myburgh; Manu Shankar-Hari; Mervyn Singer
Journal:  Intensive Care Med       Date:  2017-05-12       Impact factor: 17.440

4.  The inevitable application of big data to health care.

Authors:  Travis B Murdoch; Allan S Detsky
Journal:  JAMA       Date:  2013-04-03       Impact factor: 56.272

Review 5.  Adaptive Designs for Clinical Trials.

Authors:  Deepak L Bhatt; Cyrus Mehta
Journal:  N Engl J Med       Date:  2016-07-07       Impact factor: 91.245

Review 6.  The Primary Outcome Fails - What Next?

Authors:  Stuart J Pocock; Gregg W Stone
Journal:  N Engl J Med       Date:  2016-09-01       Impact factor: 91.245

7.  AKIpredictor, an online prognostic calculator for acute kidney injury in adult critically ill patients: development, validation and comparison to serum neutrophil gelatinase-associated lipocalin.

Authors:  Marine Flechet; Fabian Güiza; Miet Schetz; Pieter Wouters; Ilse Vanhorebeek; Inge Derese; Jan Gunst; Isabel Spriet; Michaël Casaer; Greet Van den Berghe; Geert Meyfroidt
Journal:  Intensive Care Med       Date:  2017-01-27       Impact factor: 17.440

Review 8.  Informatics in neurocritical care: new ideas for Big Data.

Authors:  Marine Flechet; Fabian Güiza Grandas; Geert Meyfroidt
Journal:  Curr Opin Crit Care       Date:  2016-04       Impact factor: 3.687

Review 9.  Big data analytics in healthcare: promise and potential.

Authors:  Wullianallur Raghupathi; Viju Raghupathi
Journal:  Health Inf Sci Syst       Date:  2014-02-07

10.  Randomised controlled trials and population-based observational research: partners in the evolution of medical evidence.

Authors:  C M Booth; I F Tannock
Journal:  Br J Cancer       Date:  2014-01-14       Impact factor: 7.640
View more
  18 in total

1.  Clinical- and surgery-specific risk factors for post-operative sepsis: a systematic review and meta-analysis of over 30 million patients.

Authors:  Philip Plaeke; Joris G De Man; Samuel Coenen; Philippe G Jorens; Benedicte Y De Winter; Guy Hubens
Journal:  Surg Today       Date:  2019-06-06       Impact factor: 2.549

2.  Artificial intelligence in intensive care: are we there yet?

Authors:  Matthieu Komorowski
Journal:  Intensive Care Med       Date:  2019-06-24       Impact factor: 17.440

3.  Is research from databases reliable? Yes.

Authors:  Jean-Francois Timsit; Jerome Aboab; Jean-Jacques Parienti
Journal:  Intensive Care Med       Date:  2018-12-14       Impact factor: 17.440

4.  Observational vs randomized: David vs Goliath for thromboprophylaxis in critically ill patients?

Authors:  Julie Helms; Julian Bion; Audrey De Jong
Journal:  Intensive Care Med       Date:  2019-01-28       Impact factor: 17.440

5.  Early diagnosis of bloodstream infections in the intensive care unit using machine-learning algorithms.

Authors:  Michael Roimi; Ami Neuberger; Anat Shrot; Mical Paul; Yuval Geffen; Yaron Bar-Lavie
Journal:  Intensive Care Med       Date:  2020-01-07       Impact factor: 17.440

Review 6.  Rationalizing antimicrobial therapy in the ICU: a narrative review.

Authors:  Jean-François Timsit; Matteo Bassetti; Olaf Cremer; George Daikos; Jan de Waele; Andre Kallil; Eric Kipnis; Marin Kollef; Kevin Laupland; Jose-Artur Paiva; Jesús Rodríguez-Baño; Étienne Ruppé; Jorge Salluh; Fabio Silvio Taccone; Emmanuel Weiss; François Barbier
Journal:  Intensive Care Med       Date:  2019-01-18       Impact factor: 17.440

7.  Development and Validation of Machine Learning Models for Real-Time Mortality Prediction in Critically Ill Patients With Sepsis-Associated Acute Kidney Injury.

Authors:  Xiao-Qin Luo; Ping Yan; Shao-Bin Duan; Yi-Xin Kang; Ying-Hao Deng; Qian Liu; Ting Wu; Xi Wu
Journal:  Front Med (Lausanne)       Date:  2022-06-15

8.  Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit.

Authors:  Danielle Jeddah; Ofer Chen; Ari M Lipsky; Andrea Forgacs; Gershon Celniker; Craig M Lilly; Itai M Pessach
Journal:  Healthc Inform Res       Date:  2021-07-31

9.  Critical care nursing workforce: Global imperatives, innovations and future-proofing - A call for papers.

Authors:  Melissa J Bloomer; Suzanne Bench
Journal:  Intensive Crit Care Nurs       Date:  2020-07-07       Impact factor: 3.072

10.  Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example.

Authors:  Patrick J Thoral; Jan M Peppink; Ronald H Driessen; Eric J G Sijbrands; Erwin J O Kompanje; Lewis Kaplan; Heatherlee Bailey; Jozef Kesecioglu; Maurizio Cecconi; Matthew Churpek; Gilles Clermont; Mihaela van der Schaar; Ari Ercole; Armand R J Girbes; Paul W G Elbers
Journal:  Crit Care Med       Date:  2021-06-01       Impact factor: 9.296
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.