Deep‐learning artificial intelligence analysis of clinical variables predicts mortality in COVID‐19 patients
JS Zhu, P Ge, C Jiang, Y Zhang, X Li… - Journal of the …, 2020 - Wiley Online Library
Objective The large number of clinical variables associated with coronavirus disease 2019
(COVID‐19) infection makes it challenging for frontline physicians to effectively triage COVID …
(COVID‐19) infection makes it challenging for frontline physicians to effectively triage COVID …
Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables
Background This study aimed to develop a deep-learning model and a risk-score system
using clinical variables to predict intensive care unit (ICU) admission and in-hospital …
using clinical variables to predict intensive care unit (ICU) admission and in-hospital …
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients
M Marcos, M Belhassen-García, A Sánchez-Puente… - PloS one, 2021 - journals.plos.org
Background Efficient and early triage of hospitalized Covid-19 patients to detect those with
higher risk of severe disease is essential for appropriate case management. Methods We …
higher risk of severe disease is essential for appropriate case management. Methods We …
Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study
G Wu, P Yang, Y Xie, HC Woodruff… - European …, 2020 - Eur Respiratory Soc
Background The outbreak of coronavirus disease 2019 (COVID-19) has globally strained
medical resources and caused significant mortality. Objective To develop and validate a …
medical resources and caused significant mortality. Objective To develop and validate a …
Development and validation of prognosis model of mortality risk in patients with COVID-19
This study aimed to identify clinical features for prognosing mortality risk using machine-
learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective …
learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective …
Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study
X Guan, B Zhang, M Fu, M Li, X Yuan, Y Zhu… - Annals of …, 2021 - Taylor & Francis
Objectives To appraise effective predictors for COVID-19 mortality in a retrospective cohort
study. Methods A total of 1270 COVID-19 patients, including 984 admitted in Sino French …
study. Methods A total of 1270 COVID-19 patients, including 984 admitted in Sino French …
Early triage of critically ill COVID-19 patients using deep learning
W Liang, J Yao, A Chen, Q Lv, M Zanin, J Liu… - Nature …, 2020 - nature.com
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into
critical illness is of major concern. It is imperative to identify these patients early. We show …
critical illness is of major concern. It is imperative to identify these patients early. We show …
Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method
S Li, Y Lin, T Zhu, M Fan, S Xu, W Qiu, C Chen… - Neural Computing and …, 2023 - Springer
To predict the mortality of patients with coronavirus disease 2019 (COVID-19). We collected
clinical data of COVID-19 patients between January 18 and March 29 2020 in Wuhan …
clinical data of COVID-19 patients between January 18 and March 29 2020 in Wuhan …
[HTML][HTML] Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: model development and validation
Background COVID-19 has infected millions of people worldwide and is responsible for
several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful …
several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful …
Clinical characteristics and a decision tree model to predict death outcome in severe COVID-19 patients
Q Yang, J Li, Z Zhang, X Wu, T Liao, S Yu, Z You… - BMC infectious …, 2021 - Springer
Background The novel coronavirus disease 2019 (COVID-19) spreads rapidly among
people and causes a pandemic. It is of great clinical significance to identify COVID-19 …
people and causes a pandemic. It is of great clinical significance to identify COVID-19 …
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