Analyzing the impact of machine learning and artificial intelligence and its effect on management of lung cancer detection in covid-19 pandemic

RSK Boddu, P Karmakar, A Bhaumik, VK Nassa… - Materials Today …, 2022 - Elsevier
Cancer victims, particularly those with lung cancer, are more susceptible and at higher
danger of COVID-19 and associated consequences as a result of their compromised …

Trends of using machine learning for detection and classification of respiratory diseases: Investigation and analysis

B Aljaddouh, D Malathi - Materials Today: Proceedings, 2022 - Elsevier
The risk of respiratory diseases is significantly increased due to its easy spread, which
makes many researchers in various fields responsible for dealing with the spread of these …

[HTML][HTML] The artificial intelligence (AI) role for tackling against COVID-19 pandemic

AH Shamman, AA Hadi, AR Ramul, MMA Zahra… - Materials Today …, 2023 - Elsevier
COVID-19 gains from the research and technology component's establishment of
information science, artificial intelligence, and computer understanding. The article aims to …

Intelligent predictions of Covid disease based on lung CT images using machine learning strategy

B Prabha, S Kaur, J Singh, P Nandankar… - Materials Today …, 2023 - Elsevier
Abstract Covid or Corona Virus, a term ruling the world from past two years and causes a
huge destruction in all countries. One of the most important Covid disease identification …

Prediction of COVID-19 growth and trend using machine learning approach

E Gothai, R Thamilselvan, RR Rajalaxmi… - Materials Today …, 2023 - Elsevier
Abstract The Covid-19 Corona Virus, also known as SARS-CoV-2, has wreaked havoc
around the world, and the condition is only getting worse. It is a pandemic disease …

Detecting Covid19 and pneumonia from chest X-ray images using deep convolutional neural networks

NS Kavya, N Veeranjaneyulu, DD Priya - Materials Today: Proceedings, 2022 - Elsevier
With the current COVID19 pandemic, we have to weigh human life, prosperity, and value,
while implicitly acknowledging that controlling case spread and mortality is a challenge …

Review on machine and deep learning models for the detection and prediction of Coronavirus

AW Salehi, P Baglat, G Gupta - Materials Today: Proceedings, 2020 - Elsevier
The novel Coronavirus disease has increased rapidly in the Wuhan city of China in
December 2019. This fatal virus has spread across the whole world like a fire in different …

Application of industry 4.0 technology in containing Covid-19 spread and its challenges

KP Paranitharan, G Ebenezer, V Balaji… - Materials Today …, 2022 - Elsevier
The pandemic of Covid-19, an epidemic outbreak created many challenges and increased
the demand for medical equipments, medicines, and related accessories and most of them …

Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving …

N Deepa, JS Priya, T Devi - Materials Today: Proceedings, 2022 - Elsevier
Infections such as COVID-19 are affecting the entire world and measures such as social
distancing can be done so that the contact among people is reduced. IoT devices usage …

By artificial intelligence algorithms and machine learning models to diagnosis cancer

S Agarwal, AS Yadav, V Dinesh, KSS Vatsav… - Materials Today …, 2023 - Elsevier
Cancer is one of the world's most critical health issues. Many in the past decade More
accurately, diagnostic tests and methodologies have been enhanced. Tests are categorised …