Early-warning of ARDS using novelty detection and data fusion-Reference-Cited by-同舟云学术

Early-warning of ARDS using novelty detection and data fusion

Published:2018-11 Issue: Volume:102 Page:191-199
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Taoum Aline,Mourad-chehade Farah,Amoud Hassan

Funder

Université de Technologie de Troyes, France

Lebanese University, Lebanon

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference45 articles.

1. National heart, lung, and blood institute acute respiratory distress syndrome (ARDS) clinical trials network, efficacy and safety of corticosteroids for persistent acute respiratory distress syndrome;NEJM,2006

2. Acute respiratory distress syndrome after cardiac surgery;Rong;J. Theat. Drama,2016

3. Acute respiratory distress in adults;Ashbaugh;Lancet,1967

4. The american-european consensus conference on ards. definitions, mechanisms, relevant outcomes, and clinical trial coordination;Bernard;AJRCCM,1994

5. Acute respiratory distress syndrome: the berlin definition;ARDS Definition Task Force;Jama,2012

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Tools for Acute Respiratory Distress Syndrome Detection and Prediction;Critical Care Medicine;2024-08-12

2. Comparison of patient non-specific seizure detection using multi-modal signals;Neuroscience Informatics;2024-03

3. Long short-term memory model identifies ARDS and in-hospital mortality in both non-COVID-19 and COVID-19 cohort;BMJ Health & Care Informatics;2023-09

4. Prediction of serious outcomes based on continuous vital sign monitoring of high-risk patients;Computers in Biology and Medicine;2022-08

5. Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning;BMC Pulmonary Medicine;2022-05-12