Prediction of hospital mortality in mechanically ventilated patients with congestive heart failure using machine learning approaches-Reference-Cited by-同舟云学术

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Prediction of hospital mortality in mechanically ventilated patients with congestive heart failure using machine learning approaches

Published:2022-07 Issue: Volume:358 Page:59-64
ISSN:0167-5273
Container-title:International Journal of Cardiology
language:en
Short-container-title:International Journal of Cardiology

Author:

Li Le,Zhang Zhenhao,Xiong Yulong,Hu Zhao,Liu Shangyu,Tu Bin,Yao Yan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference34 articles.

1. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019;Diseases;Lancet.,2020

2. Congestion in heart failure: a contemporary look at physiology, diagnosis and treatment;Boorsma;Nat. Rev. Cardiol.,2020

3. Positive pressure ventilation in the cardiac intensive care unit;Alviar;J. Am. Coll. Cardiol.,2018

4. Mechanical ventilation: state of the art;Pham;Mayo Clin. Proc.,2017

5. Long-term survival of critically ill patients treated with prolonged mechanical ventilation: a systematic review and meta-analysis;Damuth;Lancet Respir. Med.,2015

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