The roles of machine learning methods in limiting the spread of deadly diseases: A systematic review
Abstract Machine learning (ML) methods can be leveraged to prevent the spread of deadly
infectious disease outbreak (eg, COVID-19). This can be done by applying machine learning …
infectious disease outbreak (eg, COVID-19). This can be done by applying machine learning …
[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 …
Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review
Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in
the timely detection of any infectious disease (IDs) and is essential to the management of …
the timely detection of any infectious disease (IDs) and is essential to the management of …
Analyzing and minimizing the effects of Vector-borne diseases using machine and deep learning techniques: A systematic review
Among the numerous threats facing our world, Vector-borne illnesses pose the greatest
threat. Although arboviruses have a long history of infecting humans, they have recently …
threat. Although arboviruses have a long history of infecting humans, they have recently …
A review of the potential of artificial intelligence approaches to forecasting COVID-19 spreading
The spread of SARS-CoV-2 can be considered one of the most complicated patterns with a
large number of uncertainties and nonlinearities. Therefore, analysis and prediction of the …
large number of uncertainties and nonlinearities. Therefore, analysis and prediction of the …
Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey
Y Meraihi, AB Gabis, S Mirjalili, A Ramdane-Cherif… - SN computer …, 2022 - Springer
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …
the whole world. The absence of treatment has motivated research in all fields to deal with it …
A comprehensive review of COVID-19 detection with machine learning and deep learning techniques
Purpose The first transmission of coronavirus to humans started in Wuhan city of China, took
the shape of a pandemic called Corona Virus Disease 2019 (COVID-19), and posed a …
the shape of a pandemic called Corona Virus Disease 2019 (COVID-19), and posed a …
[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
A systematic review on AI/ML approaches against COVID-19 outbreak
Abstract A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
Machine learning applications for COVID-19 outbreak management
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 …
practically every area of human life. Several machine learning (ML) approaches are …