[HTML][HTML] Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
COVID-19 was first discovered in December 2019 and has continued to rapidly spread
across countries worldwide infecting thousands and millions of people. The virus is deadly …
across countries worldwide infecting thousands and millions of people. The virus is deadly …
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 …
syndrome coronavirus 2), has produced a devastating toll both in terms of human life loss …
COVID-19 health analysis and prediction using machine learning algorithms for Mexico and Brazil patients
C Iwendi, CGY Huescas, C Chakraborty… - Journal of Experimental …, 2024 - Taylor & Francis
ABSTRACT The Coronavirus Disease 2019 (COVID-19) pandemic has had social and
clinical effects over the healthcare system. Globally, over 314.019. 135 confirmed cases and …
clinical effects over the healthcare system. Globally, over 314.019. 135 confirmed cases and …
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
This article presents a systematic overview of artificial intelligence (AI) and computer vision
strategies for diagnosing the coronavirus disease of 2019 (COVID-19) using computerized …
strategies for diagnosing the coronavirus disease of 2019 (COVID-19) using computerized …
Diagnosing COVID-19 using artificial intelligence: A comprehensive review
Abstract In early March 2020, the World Health Organization (WHO) proclaimed the novel
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
Ethics for integrating emerging technologies to contain COVID‐19 in Zimbabwe
E Mbunge, SG Fashoto, B Akinnuwesi… - Human Behavior …, 2021 - Wiley Online Library
Zimbabwe is among the countries affected with the coronavirus disease (COVID‐19) and
implemented several infection control and measures such as social distancing, contact …
implemented several infection control and measures such as social distancing, contact …
Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19
Major hyperparameters which affect fuzzy time series (FTS) forecasting are the number of
partitions, length of partition intervals in the universe of discourse, and the fuzzy order. There …
partitions, length of partition intervals in the universe of discourse, and the fuzzy order. There …
Credit card fraud detection using a new hybrid machine learning architecture
The negative effect of financial crimes on financial institutions has grown dramatically over
the years. To detect crimes such as credit card fraud, several single and hybrid machine …
the years. To detect crimes such as credit card fraud, several single and hybrid machine …
Overview of COVID-19 disease: virology, epidemiology, prevention diagnosis, treatment, and vaccines
I Salahshoori, N Mobaraki-Asl, A Seyfaee… - Biologics, 2021 - mdpi.com
Coronaviruses belong to the “Coronaviridae family”, which causes various diseases, from
the common cold to SARS and MERS. The coronavirus is naturally prevalent in mammals …
the common cold to SARS and MERS. The coronavirus is naturally prevalent in mammals …
Artificial intelligence-based public healthcare systems: G2G knowledge-based exchange to enhance the decision-making process
With the rapid evolution of data over the last few years, many new technologies have arisen
with artificial intelligent (AI) technologies at the top. Artificial intelligence (AI), with its infinite …
with artificial intelligent (AI) technologies at the top. Artificial intelligence (AI), with its infinite …