A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters-Reference-Cited by-同舟云学术

A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters

Published:2024-01 Issue: Volume:235 Page:121089
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wu Yunan^ORCID,Rocha Bruno Machado^ORCID,Kaimakamis Evangelos^ORCID,Cheimariotis Grigorios-Aris^ORCID,Petmezas Georgios^ORCID,Chatzis Evangelos^ORCID,Kilintzis Vassilis^ORCID,Stefanopoulos Leandros^ORCID,Pessoa Diogo^ORCID,Marques Alda^ORCID,Carvalho Paulo^ORCID,Paiva Rui Pedro^ORCID,Kotoulas Serafeim^ORCID,Bitzani Militsa,Katsaggelos Aggelos K.^ORCID,Maglaveras Nicos^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Covid-net cxr-s: Deep convolutional neural network for severity assessment of covid-19 cases from chest x-ray images;Aboutalebi;Diagnostics,2021

2. Brain lesion detection using a robust variational autoencoder and transfer learning;Akrami,2020

3. Early prediction of COVID-19 ventilation requirement and mortality from routinely collected baseline chest radiographs, laboratory, and clinical data with machine learning;Aljouie;Journal of Multidisciplinary Healthcare,2021

4. Multisystem outcomes and predictors of mortality in critically ill patients with COVID-19: demographics and disease acuity matter more than comorbidities or treatment modalities;Alser;Journal of Trauma and Acute Care Surgery,2021

5. Mortality in patients admitted to intensive care with COVID-19: an updated systematic review and meta-analysis of observational studies;Armstrong;Anaesthesia,2021

Cited by 4 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. Attention induced multi-head convolutional neural network organization with MobileNetv1 transfer learning and COVID-19 diagnosis using jellyfish search optimization process on chest X-ray images;Biomedical Signal Processing and Control;2024-07

2. Back to the future: the novel art of digital auscultation applied in a prospective observational study of critically ill Covid-19 patients;Pneumonia;2024-06-05

3. Recent advancements and applications of deep learning in heart failure: Α systematic review;Computers in Biology and Medicine;2024-06

4. COVID-19 mortality prediction in Hungarian ICU settings implementing random forest algorithm;Scientific Reports;2024-05-24