Machine learning applications for COVID-19 outbreak management

A Heidari, N Jafari Navimipour, M Unal… - Neural Computing and …, 2022 - Springer
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …

A comprehensive and systematic literature review on the big data management techniques in the internet of things

A Naghib, N Jafari Navimipour, M Hosseinzadeh… - Wireless …, 2023 - Springer
Abstract The Internet of Things (IoT) is a communication paradigm and a collection of
heterogeneous interconnected devices. It produces large-scale distributed, and diverse data …

The role of IT-based technologies on the management of human resources in the COVID-19 era

S Vahdat - Kybernetes, 2022 - emerald.com
Purpose The current pandemic will introduce many novel policies, adaptations, innovations
and procedures by innovative human resource (HR) creativity. In particular, information …

A comprehensive and systematic review of the IoT-based medical management systems: Applications, techniques, trends and open issues

G Zhang, NJ Navimipour - Sustainable Cities and Society, 2022 - Elsevier
Abstract The Internet of Things (IoT) is critical in a variety of modern city and society
management domains, including intelligent medical management. The intelligent IoT with …

A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain

A Heidari, S Toumaj, NJ Navimipour, M Unal - Computers in Biology and …, 2022 - Elsevier
With the global spread of the COVID-19 epidemic, a reliable method is required for
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …

Hospital length of stay for COVID-19 patients: a systematic review and meta-analysis

Y Alimohamadi, EM Yekta, M Sepandi… - Multidisciplinary …, 2022 - pmc.ncbi.nlm.nih.gov
The length of stay in the hospital for COVID-19 can aid in understanding the disease's
prognosis. Thus, the goal of this study was to collectively estimate the hospital length of stay …

Surveying haemoperfusion impact on COVID-19 from machine learning using Shapley values

B Einollahi, M Javanbakht, M Ebrahimi, M Ahmadi… - …, 2024 - Springer
Background Haemoperfusion (HP) is an innovative extracorporeal therapy that utilizes
special cartridges to filter the blood, effectively removing pro-inflammatory cytokines, toxins …

[HTML][HTML] Discovering the symptom patterns of COVID-19 from recovered and deceased patients using Apriori association rule mining

M Dehghani, Z Yazdanparast - Informatics in Medicine Unlocked, 2023 - Elsevier
The COVID-19 pandemic has a devastating impact globally, claiming millions of lives and
causing significant social and economic disruptions. In order to optimize decision-making …

Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic

M Darbandi, AF Alrasheedi, KA Alnowibet… - Information Systems and …, 2022 - Springer
The globe is now fighting the COVID-19 epidemic, and a cost-effective method to battle the
outbreak is urgently required. In this era, the Internet of Things (IoT) offers healthcare …

Effects of cytokine hemadsorption as salvage therapy on common laboratory parameters in patients with life-threatening COVID-19

S Uysal, M Merter, A Uysal, A Akbulut - Transfusion and Apheresis Science, 2023 - Elsevier
Background The COVID-19 pandemic has led to emergency approval of treatment
modalities unusual for viruses, such as therapeutic cytokine Hemadsorption (HA). This study …