[PDF][PDF] Covid-19 mortality prediction from deep learning in a large multistate ehr and lis dataset: algorithm development and validation
S Sankaranarayanan, J Balan, JR Walsh… - J Med Internet …, 2021 - kb4.ingentium.com
Background: COVID-19 is caused by the SARS-CoV-2 virus and has strikingly
heterogeneous clinical manifestations with most individuals contracting mild disease but a …
heterogeneous clinical manifestations with most individuals contracting mild disease but a …
Which Features Are Useful in Machine Learning-Based COVID-19 Prognostication? A Meta-Analysis
COVID-19 brings devastating impacts on society and shows how fragile our current
healthcare system is. To aid the healthcare system, machine learning (ML) models have …
healthcare system is. To aid the healthcare system, machine learning (ML) models have …
[HTML][HTML] A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
In this article, we discuss the development of prognostic machine learning (ML) models for
COVID-19 progression, by focusing on the task of predicting ICU admission within (any of) …
COVID-19 progression, by focusing on the task of predicting ICU admission within (any of) …
[HTML][HTML] A predictive model for hospitalization and survival to COVID-19 in a retrospective population-based study
A Cisterna-García, A Guillén-Teruel, M Caracena… - Scientific Reports, 2022 - nature.com
The development of tools that provide early triage of COVID-19 patients with minimal use of
diagnostic tests, based on easily accessible data, can be of vital importance in reducing …
diagnostic tests, based on easily accessible data, can be of vital importance in reducing …
Early prediction of COVID-19 outcome: contrasting clinical scores and computational intelligence methods
S Greco, A Salatiello, N Fabbri, A Passaro - Understanding COVID-19 …, 2022 - Springer
Triaging incoming patients is critical for an optimal allocation of hospital resources,
especially during a pandemic, when these tend to be quickly depleted. A typical approach …
especially during a pandemic, when these tend to be quickly depleted. A typical approach …
[HTML][HTML] Using machine learning to predict mortality for COVID-19 patients on day 0 in the ICU
Rationale: Given the expanding number of COVID-19 cases and the potential for new waves
of infection, there is an urgent need for early prediction of the severity of the disease in …
of infection, there is an urgent need for early prediction of the severity of the disease in …
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort
Many countries are now experiencing the third wave of the COVID-19 pandemic straining
the healthcare resources with an acute shortage of hospital beds and ventilators for the …
the healthcare resources with an acute shortage of hospital beds and ventilators for the …
Early mortality risk prediction in Covid-19 patients using an ensemble of machine learning models
H Walia, S Jeevaraj - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
COVID-19, which is subsequently named as SARS-CoV-2, First Human case was found in
the City of Wuhan, from China, in Dec 2019. After that, the World health organization (WHO) …
the City of Wuhan, from China, in Dec 2019. After that, the World health organization (WHO) …
[HTML][HTML] Deep-Risk: Deep Learning-Based Mortality Risk Predictive Models for COVID-19
The SARS-CoV-2 virus has proliferated around the world and caused panic to all people as
it claimed many lives. Since COVID-19 is highly contagious and spreads quickly, an early …
it claimed many lives. Since COVID-19 is highly contagious and spreads quickly, an early …
A predictive paradigm for COVID-19 prognosis based on the longitudinal measure of biomarkers
X Chen, W Gao, J Li, D You, Z Yu… - Briefings in …, 2021 - academic.oup.com
Abstract Novel coronavirus disease 2019 (COVID-19) is an emerging, rapidly evolving crisis,
and the ability to predict prognosis for individual COVID-19 patient is important for guiding …
and the ability to predict prognosis for individual COVID-19 patient is important for guiding …