Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

An IoT-based framework for early identification and monitoring of COVID-19 cases

M Otoom, N Otoum, MA Alzubaidi, Y Etoom… - … signal processing and …, 2020 - Elsevier
The world has been facing the challenge of COVID-19 since the end of 2019. It is expected
that the world will need to battle the COVID-19 pandemic with precautious measures, until …

Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arxiv preprint arxiv …, 2020 - arxiv.org
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

Designing humanitarian logistics network for managing epidemic outbreaks in disasters using Internet-of-Things. A case study: An earthquake in Salas-e-Babajani city

B Ehsani, H Karimi, A Bakhshi, A Aghsami… - Computers & industrial …, 2023 - Elsevier
Along with the destructive effects of catastrophes throughout the world, the COVID-19
outbreak has intensified the severity of disasters. Although the global aid organizations and …

A Novel COVID‐19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X‐Ray Images

S Hamida, O El Gannour, B Cherradi… - Journal of …, 2021 - Wiley Online Library
COVID‐19 is an infectious disease‐causing flu‐like respiratory problem with various
symptoms such as cough or fever, which in severe cases can cause pneumonia. The aim of …

Fuzzy-logic-based IoMT framework for COVID19 patient monitoring

S Panja, AK Chattopadhyay, A Nag, JP Singh - Computers & Industrial …, 2023 - Elsevier
Smart healthcare is an integral part of a smart city, which provides real time and intelligent
remote monitoring and tracking services to patients and elderly persons. In the era of an …

[PDF][PDF] Hybrid of K-Means and partitioning around medoids for predicting COVID-19 cases: Iraq case study

NG Ali¹, SD Abed, FAJ Shaban, K Tongkachok, S Ray… - 2021 - researchgate.net
ABSTRACT COVID-19 was discovered near the end of 2019 in Wuhan, China. In a short
period, the virus had spread throughout the entire world. One of the primary concerns of …

A novel discrete learning-based intelligent methodology for breast cancer classification purposes

M Khashei, N Bakhtiarvand - Artificial Intelligence in Medicine, 2023 - Elsevier
Classification is one of the most significant subfields of data mining that has been
successfully applied to various applications. The literature has expended substantial effort to …

A hybrid data envelopment analysis—artificial neural network prediction model for COVID-19 severity in transplant recipients

I Revuelta, FJ Santos-Arteaga… - Artificial Intelligence …, 2021 - Springer
In an overwhelming demand scenario, such as the SARS-CoV-2 pandemic, pressure over
health systems may outburst their predicted capacity to deal with such extreme situations …

COVID-19 CT-images diagnosis and severity assessment using machine learning algorithm

Z Albataineh, F Aldrweesh, MA Alzubaidi - Cluster Computing, 2024 - Springer
As a pandemic, the primary evaluation tool for coronavirus (COVID-19) still has serious
flaws. To improve the existing situation, all facilities and tools available in this field should be …