Machine learning based clinical decision support system for early COVID-19 mortality prediction
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …
respiratory disease that has been classified as a pandemic by the World Health …
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 …
Approaching personalized medicine: the use of machine learning to determine predictors of mortality in a population with SARS-CoV-2 infection
M Queipo, J Barbado, AM Torres, J Mateo - Biomedicines, 2024 - mdpi.com
The COVID-19 pandemic demonstrated the need to develop strategies to control a new viral
infection. However, the different characteristics of the health system and population of each …
infection. However, the different characteristics of the health system and population of each …
[HTML][HTML] Machine learning applied to clinical laboratory data in Spain for COVID-19 outcome prediction: model development and validation
JL Domínguez-Olmedo, Á Gragera-Martínez… - Journal of medical …, 2021 - jmir.org
Background The COVID-19 pandemic is probably the greatest health catastrophe of the
modern era. Spain's health care system has been exposed to uncontrollable numbers of …
modern era. Spain's health care system has been exposed to uncontrollable numbers of …
Identification of early predictors of clinical outcomes of COVID-19 outbreak in an Italian single center using a machine-learning approach
MM Rando, F Biscetti, C Masciocchi… - European Review for …, 2023 - publicatt.unicatt.it
OBJECTIVE: SARS-CoV-2 disease (COVID-19) has become a pandemic disease,
determining a public health emergency. The use of artificial intelligence in identifying easily …
determining a public health emergency. The use of artificial intelligence in identifying easily …
Machine learning techniques to predict different levels of hospital care of CoVid-19
E Hernández-Pereira, O Fontenla-Romero… - Applied …, 2022 - Springer
In this study, we analyze the capability of several state of the art machine learning methods
to predict whether patients diagnosed with CoVid-19 (CoronaVirus disease 2019) will need …
to predict whether patients diagnosed with CoVid-19 (CoronaVirus disease 2019) will need …
Use of machine learning to identify protective factors for death from COVID-19 in the ICU: a retrospective study
L Dos Santos, LL Silva, FC Pelloso, V Maia, C Pujals… - PeerJ, 2024 - peerj.com
Background Patients in serious condition due to COVID-19 often require special care in
intensive care units (ICUs). This disease has affected over 758 million people and resulted …
intensive care units (ICUs). This disease has affected over 758 million people and resulted …
Predictive model for mortality in severe COVID-19 patients across the six pandemic waves
N Casillas, A Ramón, AM Torres, P Blasco, J Mateo - Viruses, 2023 - mdpi.com
The impact of SARS-CoV-2 infection remains substantial on a global scale, despite
widespread vaccination efforts, early therapeutic interventions, and an enhanced …
widespread vaccination efforts, early therapeutic interventions, and an enhanced …
Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods
Abstract Background Coronavirus disease (COVID-19) presents an unprecedented threat to
global health worldwide. Accurately predicting the mortality risk among the infected …
global health worldwide. Accurately predicting the mortality risk among the infected …