COVID-19 detection from CBC using machine learning techniques
A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …
world. There is a critical requirement for timely and reliable detection of Corona virus …
An ensemble learning model for COVID-19 detection from blood test samples
OO Abayomi-Alli, R Damaševičius, R Maskeliūnas… - Sensors, 2022 - mdpi.com
Current research endeavors in the application of artificial intelligence (AI) methods in the
diagnosis of the COVID-19 disease has proven indispensable with very promising results …
diagnosis of the COVID-19 disease has proven indispensable with very promising results …
COVID-19 diagnosis from routine blood tests using artificial intelligence techniques
Abstract Coronavirus disease (COVID-19) is a unique worldwide pandemic. With new
mutations of the virus with higher transmission rates, it is imperative to diagnose positive …
mutations of the virus with higher transmission rates, it is imperative to diagnose positive …
Machine learning approach for autonomous detection and classification of COVID-19 virus
As people all over the world are vulnerable to be affected by the COVID-19 virus, the
automatic detection of such a virus is an important concern. The paper aims to detect and …
automatic detection of such a virus is an important concern. The paper aims to detect and …
Coronavirus disease (COVID-19) cases analysis using machine-learning applications
Today world thinks about coronavirus disease that which means all even this pandemic
disease is not unique. The purpose of this study is to detect the role of machine-learning …
disease is not unique. The purpose of this study is to detect the role of machine-learning …
Diagnosis and Prognosis of COVID-19 disease using routine blood values and LogNNet neural network
MT Huyut, A Velichko - Sensors, 2022 - mdpi.com
Since February 2020, the world has been engaged in an intense struggle with the COVID-19
disease, and health systems have come under tragic pressure as the disease turned into a …
disease, and health systems have come under tragic pressure as the disease turned into a …
A novel classifier architecture based on deep neural network for COVID-19 detection using laboratory findings
V Göreke, V Sarı, S Kockanat - Applied Soft Computing, 2021 - Elsevier
Abstract Unfortunately, Coronavirus disease 2019 (COVID-19) is spreading rapidly all over
the world. Along with causing many deaths, it has substantially affected the social life …
the world. Along with causing many deaths, it has substantially affected the social life …
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
[HTML][HTML] COVID-19 detection and classification for machine learning methods using human genomic data
MT Ahemad, MA Hameed, R Vankdothu - Measurement: Sensors, 2022 - Elsevier
Coronavirus is a disease connected to coronavirus. World Health Organization has declared
COVID-19 a pandemic. It has an impact on 212 nations and territories worldwide. Examining …
COVID-19 a pandemic. It has an impact on 212 nations and territories worldwide. Examining …
Machine learning sensors for diagnosis of COVID-19 disease using routine blood values for internet of things application
A Velichko, MT Huyut, M Belyaev, Y Izotov, D Korzun - Sensors, 2022 - mdpi.com
Healthcare digitalization requires effective applications of human sensors, when various
parameters of the human body are instantly monitored in everyday life due to the Internet of …
parameters of the human body are instantly monitored in everyday life due to the Internet of …