[HTML][HTML] Noninvasive respiratory support and patient self-inflicted lung injury in COVID-19: a narrative review

D Battaglini, C Robba, L Ball, PL Silva, FF Cruz… - British Journal of …, 2021 - Elsevier
COVID-19 pneumonia is associated with hypoxaemic respiratory failure, ranging from mild
to severe. Because of the worldwide shortage of ICU beds, a relatively high number of …

[HTML][HTML] A multi-task Gaussian process self-attention neural network for real-time prediction of the need for mechanical ventilators in COVID-19 patients

K Zhang, S Karanth, B Patel, R Murphy… - Journal of biomedical …, 2022 - Elsevier
Abstract Objective The Coronavirus Disease 2019 (COVID-19) pandemic has overwhelmed
the capacity of healthcare resources and posed a challenge for worldwide hospitals. The …

Artificial neural network based prediction of the lung tissue involvement as an independent in‐hospital mortality and mechanical ventilation risk factor in COVID‐19

M Parczewski, J Kufel, B Aksak‐Wąs… - Journal of Medical …, 2023 - Wiley Online Library
Introduction During COVID‐19 pandemic, artificial neural network (ANN) systems have been
providing aid for clinical decisions. However, to achieve optimal results, these models …

DBNet: a novel deep learning framework for mechanical ventilation prediction using electronic health records

K Zhang, X Jiang, M Madadi, L Chen, S Savitz… - Proceedings of the 12th …, 2021 - dl.acm.org
The outbreak of the Coronavirus disease (COVID-19) pandemic has caused millions of
deaths and put immense pressure on the health care system, especially the supply of …

[HTML][HTML] Lymphopenia and early variation of lymphocytes to predict in-hospital mortality and severity in ED patients with SARS-CoV-2 infection

M Simon, P Le Borgne, F Lefevbre, S Chabrier… - Journal of Clinical …, 2022 - mdpi.com
(1) Introduction: Multiple studies have demonstrated that lymphocyte count monitoring is a
valuable prognostic tool for clinicians during inflammation. The aim of our study was to …

Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network

K Zhang, S Karanth, B Patel, R Murphy… - arXiv preprint arXiv …, 2021 - arxiv.org
We propose a robust in-time predictor for in-hospital COVID-19 patient's probability of
requiring mechanical ventilation. A challenge in the risk prediction for COVID-19 patients …

A novel intubation prediction model for patients hospitalized with COVID-19: the OTO-COVID-19 scoring model

M Okuyucu, T Tunc, YT Güllü, I Bozkurt… - Current Medical …, 2022 - Taylor & Francis
Objective The method for predicting the risk of intubation in patients with coronavirus
disease 2019 (COVID-19) is yet to be standardized. This study aimed to introduce a new …

[PDF][PDF] Tatalaksana Ventilasi pada Pasien Coronavirus Disease 2019 (COVID-19): Ventilasi pada Pasien COVID-19

TP Umar - Damianus Journal of Medicine, 2021 - ejournal.atmajaya.ac.id
Abstract Introduction: Coronavirus disease 2019 (COVID-19) is a respiratory infection that
has become a global pandemic. Approximately 5% of all sufferers of this disease require an …

[HTML][HTML] Use of CPAP failure score to predict the risk of helmet-CPAP support failure in COVID-19 patients: a retrospective study

F Alessandri, A Tosi, F De Lazzaro, C Andreoli… - Journal of Clinical …, 2022 - mdpi.com
(1) Background: the aim of this study was to create a score to predict the incidence of CPAP
failure in COVID-19 patients early.(2) Methods: in this retrospective observational study, we …

The 'core'of the 'score'(COVID-19)?

R Magoon - Medical Hypotheses, 2021 - ncbi.nlm.nih.gov
I read with great interest the hypothesis by Khandelwal and colleagues suggesting that the
scoring acronym, COVID-19, can predict the need of tracheal intubation in critically ill …