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 …

Artificial intelligence in pharmaceutical and healthcare research

SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …

Artificial intelligence-driven assessment of radiological images for COVID-19

Y Bouchareb, PM Khaniabadi, F Al Kindi… - Computers in biology …, 2021 - Elsevier
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …

Data analytics and knowledge management approach for COVID-19 prediction and control

I Hasan, P Dhawan, SAM Rizvi, S Dhir - International Journal of …, 2023 - Springer
Abstract The Coronavirus Disease (COVID-19) caused by SARS-CoV-2, continues to be a
global threat. The major global concern among scientists and researchers is to develop …

Forecasting patient arrivals at emergency department using calendar and meteorological information

Y Zhang, J Zhang, M Tao, J Shu, D Zhu - Applied Intelligence, 2022 - Springer
Overcrowding in emergency departments (EDs) is a serious problem in many countries.
Accurate ED patient arrival forecasts can serve as a management baseline to better allocate …

On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments

A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …

Deep neural networks for direction of arrival estimation of multiple targets with sparse prior for line-of-sight scenarios

S Xu, A Brighente, B Chen, M Conti… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Received signal Direction of Arrival (DOA) estimation represents a significant problem with
multiple applications, ranging from wireless communications to radars. This problem …

Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic

V Mahalakshmi, A Balobaid, B Kanisha, R Sasirekha… - Healthcare, 2023 - mdpi.com
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused
coronavirus diseases (COVID-19) in late 2019 in China created a devastating economical …

Recent advancement of analytical approaches for assessing Ataxia telangiectasia mutated kinase inhibitors in Ataxia telangiectasia: An overview

A Rameshkumar, V ArunPrasanna, V Mahalakshmi… - Process …, 2024 - Elsevier
Ataxia telangiectasia, one of the rare human autosomal recessive disorders, results from a
mutation in the Ataxia telangiectasia mutated kinase (ATM) gene, leading to high …

Forecasting and comparative analysis of Covid-19 cases in India and US

S Biswas - The European Physical Journal Special Topics, 2022 - Springer
The devastating waves of covid-19 have wreaked havoc on the world, particularly India and
US. The article aims to predict the real-time forecasts of covid-19 confirm cases for India and …