Individuals with obesity and COVID‐19: a global perspective on the epidemiology and biological relationships

BM Popkin, S Du, WD Green, MA Beck… - Obesity …, 2020 - Wiley Online Library
The linkage of individuals with obesity and COVID‐19 is controversial and lacks systematic
reviews. After a systematic search of the Chinese and English language literature on COVID …

The association of smoking status with SARS‐CoV‐2 infection, hospitalization and mortality from COVID‐19: a living rapid evidence review with Bayesian meta …

D Simons, L Shahab, J Brown, O Perski - Addiction, 2021 - Wiley Online Library
Aims To estimate the association of smoking status with rates of (i) infection,(ii)
hospitalization,(iii) disease severity and (iv) mortality from SARS‐CoV‐2/COVID‐19 disease …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database

FSH de Souza, NS Hojo-Souza, BDO Batista… - PloS one, 2021 - journals.plos.org
Background Brazil became the epicenter of the COVID-19 epidemic in a brief period of a few
months after the first officially registered case. The knowledge of the epidemiological/clinical …

Long-COVID diagnosis: From diagnostic to advanced AI-driven models

R Cau, G Faa, V Nardi, A Balestrieri, J Puig… - European journal of …, 2022 - Elsevier
SARS-COV 2 is recognized to be responsible for a multi-organ syndrome. In most patients,
symptoms are mild. However, in certain subjects, COVID-19 tends to progress more …

[HTML][HTML] Application of machine learning in CT images and X-rays of COVID-19 pneumonia

F Zhang - Medicine, 2021 - journals.lww.com
Abstract Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …

Identification of high-risk COVID-19 patients using machine learning

MA Quiroz-Juárez, A Torres-Gómez, I Hoyo-Ulloa… - Plos one, 2021 - journals.plos.org
The current COVID-19 public health crisis, caused by SARS-CoV-2 (severe acute respiratory
syndrome coronavirus 2), has produced a devastating toll both in terms of human life loss …

Artificial intelligence in surveillance, diagnosis, drug discovery and vaccine development against COVID-19

G Arora, J Joshi, RS Mandal, N Shrivastava, R Virmani… - Pathogens, 2021 - mdpi.com
As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …

Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2

K Gao, R Wang, J Chen, L Cheng, J Frishcosy… - Chemical …, 2022 - ACS Publications
Despite tremendous efforts in the past two years, our understanding of severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …

Data Science and Machine Learning Integrated Implementation Patterns for Cavernous Knowledge Discovery from COVID-19 Data

B Prashanth, G Neelima, CS Dule… - IOP Conference …, 2020 - iopscience.iop.org
Pandemic is a well-known term for the year 2020. It's essentially a disease that spreads
across a region or the entire planet. The entire planet appears powerless, and a jerk …