The efficacy and effectiveness of machine learning for weaning in mechanically ventilated patients at the intensive care unit: a systematic review-Reference-Cited by-同舟云学术

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The efficacy and effectiveness of machine learning for weaning in mechanically ventilated patients at the intensive care unit: a systematic review

Published:2018-12-18 Issue:1 Volume:2 Page:31-40
ISSN:2096-5524
Container-title:Bio-Design and Manufacturing
language:en
Short-container-title:Bio-des. Manuf.

Author:

Kwong Man Ting,Colopy Glen Wright,Weber Anika M.,Ercole Ari,Bergmann Jeroen H. M.^ORCID

Funder

Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Materials Science (miscellaneous),Biomedical Engineering,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s42242-018-0030-1.pdf

Reference41 articles.

1. Elitok MS, Gunduz E, Gurses HE, Gunduz M (2018) Tissue engineering: towards development of regenerative and transplant medicine. In: Barh D, Azevedo V (eds) Omics technologies and bio-engineering. Academic Press, pp 471–495. https://doi.org/10.1016/B978-0-12-804659-3.00020-8

2. Barnes L et al (2015) Mechanical ventilation for the lung transplant recipient. Curr Pulmonol Rep 4(2):88–96

3. Esteban A et al (2002) Characteristics and outcomes in adult patients receiving mechanical ventilation. Am Med Assoc 287(3):345–355

4. Tobin MJ (1994) Mechanical ventilation. N Engl J Med 330(15):1056–1061

5. Melsen WG, Rovers MM, Koeman M, Bonten MJM (2011) Estimating the attributable mortality of ventilator-associated pneumonia from randomized prevention studies. Crit Care Med 39(12):2736–2742

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