[PDF][PDF] Research of mortality risk prediction based on hospital admission data for COVID-19 patients
Q Shen - Mathematical Biosciences and Engineering, 2023 - aimspress.com
As COVID-19 continues to spread across the world and causes hundreds of millions of
infections and millions of deaths, medical institutions around the world keep facing a crisis of …
infections and millions of deaths, medical institutions around the world keep facing a crisis of …
Predicting Mortality COVID‑19 Model and Characterize the High Risk of Dying Based on Machine Learning Models
MA Atiyah, CA Kamal - The Scientific Journal of Cihan …, 2023 - journal.sulicihan.edu.krd
COVID-19 is a respiratory illness that the SARS-CoV-2 virus has caused. It has been
declared a pandemic by the (WHO). The surprise increase in infections and the high …
declared a pandemic by the (WHO). The surprise increase in infections and the high …
SARS-CoV-2 Mortality Risk Prediction Using Machine Learning Algorithms to Aid Medical Decision-Making
M Sewariya, S Patidar - Inventive Computation and Information …, 2023 - Springer
The coronavirus has affected the world in every possible aspect such as loss of economy,
infrastructure, and moreover human life. In the era of growing technology, artificial …
infrastructure, and moreover human life. In the era of growing technology, artificial …
[HTML][HTML] Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-making
M Pourhomayoun, M Shakibi - Smart health, 2021 - Elsevier
In the wake of COVID-19 disease, caused by the SARS-CoV-2 virus, we designed and
developed a predictive model based on Artificial Intelligence (AI) and Machine Learning …
developed a predictive model based on Artificial Intelligence (AI) and Machine Learning …
Prediction of Mortality in Inpatients of Covid-19 using Statistical and Artificial Intelligence Approaches: A Case Study in Sakarya
The virus SARS-Cov-2 speared rapidly as pandemic disease and cause serious respiratory
distress and death. The parameters such as D-dimer, fibrinogen, C-reactive protein, and …
distress and death. The parameters such as D-dimer, fibrinogen, C-reactive protein, and …
[PDF][PDF] Using Machine Learning Techniques to Predict COVID-19 Patient Outcomes
N Alnazzawi - academia.edu
The recent outbreak of coronavirus disease 2019 (COVID-19) has affected human life to a
great extent. The pandemic has led to severe global socioeconomic disruption, causing the …
great extent. The pandemic has led to severe global socioeconomic disruption, causing the …
[HTML][HTML] Predicting mortality of COVID-19 patients based on data mining techniques
Abstract If Coronavirus (COVID-19) is not predicted, managed, and controlled timely, the
health systems of any country and their people will face serious problems. Predictive models …
health systems of any country and their people will face serious problems. Predictive models …
Comparing of data mining techniques for predicting in-hospital mortality among patients with covid-19
M Shanbehzadeh, A Orooji… - … of Biostatistics and …, 2021 - publish.kne-publishing.com
Introduction: The COVID-19 epidemic is currently fronting the worldwide health care systems
with many qualms and unexpected challenges in medical decision-making and the effective …
with many qualms and unexpected challenges in medical decision-making and the effective …
Prediction of Need for ICU Admission and Mortality of Covid-19 patients using Machine Learning: A Comparative Analysis
UU Nisa, MA Chishti - International Journal of Computing and …, 2023 - journals.uob.edu.bh
The novel coronavirus disease (COVID-19) has caused severe damage worldwide, affecting
the lives of millions of people and destroying the global infrastructure and health systems …
the lives of millions of people and destroying the global infrastructure and health systems …
Predict mortality in patients infected with COVID-19 virus based on observed characteristics of the patient using logistic regression
BO Josephus, AH Nawir, E Wijaya, JV Moniaga… - Procedia computer …, 2021 - Elsevier
The spread of COVID-19 has made the world a mess. Up to this day, 5,235,452 cases
confirmed worldwide with 338,612 death. One of the methods to predict mortality risk is …
confirmed worldwide with 338,612 death. One of the methods to predict mortality risk is …