A particle swarm optimization approach for predicting the number of COVID-19 deaths
M Haouari, M Mhiri - Scientific reports, 2021 - nature.com
The rapid spread of the COVID-19 pandemic has raised huge concerns about the prospect
of a major health disaster that would result in a huge number of deaths. This anxiety was …
of a major health disaster that would result in a huge number of deaths. This anxiety was …
Combinatorial benders decomposition for the two-dimensional bin packing problem
The two-dimensional bin packing problem calls for packing a set of rectangular items into a
minimal set of larger rectangular bins. Items must be packed with their edges parallel to the …
minimal set of larger rectangular bins. Items must be packed with their edges parallel to the …
[HTML][HTML] Design of an artificial neural network to predict mortality among COVID-19 patients
M Shanbehzadeh, R Nopour… - Informatics in medicine …, 2022 - Elsevier
Introduction The fast pandemic of coronavirus disease 2019 (COVID-19) has challenged
clinicians with many uncertainties and ambiguities regarding disease outcomes and …
clinicians with many uncertainties and ambiguities regarding disease outcomes and …
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
Prediction model for mortality analysis of pregnant women affected with COVID-19
COVID-19 pandemic is an ongoing global pandemic which has caused unprecedented
disruptions in the public health sector and global economy. The virus, SARS-CoV-2 is …
disruptions in the public health sector and global economy. The virus, SARS-CoV-2 is …
[HTML][HTML] Modeling and forecasting the COVID-19 pandemic with heterogeneous autoregression approaches: South Korea
E Hwang, SM Yu - Results in Physics, 2021 - Elsevier
This paper deals with time series analysis for COVID-19 in South Korea. We adopt
heterogeneous autoregressive (HAR) time series models and discuss the statistical …
heterogeneous autoregressive (HAR) time series models and discuss the statistical …
[HTML][HTML] Predicting risk of mortality in COVID-19 hospitalized patients using hybrid machine learning algorithms
MR Afrash, M Shanbehzadeh… - Journal of biomedical …, 2022 - ncbi.nlm.nih.gov
Background: Since hospitalized patients with COVID-19 are considered at high risk of death,
the patients with the sever clinical condition should be identified. Despite the potential of …
the patients with the sever clinical condition should be identified. Despite the potential of …
Evaluation of hybrid unsupervised and supervised machine learning approach to detect self-reporting of COVID-19 symptoms on Twitter
With over 127 million cases globally, the COVID-19 pandemic marks a sentinel event in
global health. However, true case estimations have been elusive due to lack of testing and …
global health. However, true case estimations have been elusive due to lack of testing and …
The culinary sector MSME survival strategy in effort to restore populist economy based on the creative industry during the Covid-19 pandemic
M Sinurat, L Lilinesia, M Subhan… - … Research and Behavior …, 2021 - ojs.unimal.ac.id
This study aims to identify and analyze strategies to improve the economic recovery of
MSMEs in the culinary sector during the Covid-19 pandemic and when the new normal era …
MSMEs in the culinary sector during the Covid-19 pandemic and when the new normal era …
Development of neural network models for prediction of the outcome of COVID-19 hospitalized patients based on initial laboratory findings, demographics, and …
Background: During the process of the treatment of COVID-19 hospitalized patients,
physicians still face a lot of unknowns and problems. Despite the application of the treatment …
physicians still face a lot of unknowns and problems. Despite the application of the treatment …