[HTML][HTML] Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
The existence of widespread COVID-19 infections has prompted worldwide efforts to control
and manage the virus, and hopefully curb it completely. One important line of research is the …
and manage the virus, and hopefully curb it completely. One important line of research is the …
Potential applications and performance of machine learning techniques and algorithms in clinical practice: a systematic review
Purpose The advent of clinically adapted machine learning algorithms can solve numerous
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
[HTML][HTML] Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
Objectives The rRT-PCR test, the current gold standard for the detection of coronavirus
disease (COVID-19), presents with known shortcomings, such as long turnaround time …
disease (COVID-19), presents with known shortcomings, such as long turnaround time …
[HTML][HTML] Time series prediction of COVID-19 transmission in America using LSTM and XGBoost algorithms
J Luo, Z Zhang, Y Fu, F Rao - Results in Physics, 2021 - Elsevier
In this paper, we establish daily confirmed infected cases prediction models for the time
series data of America by applying both the long short-term memory (LSTM) and extreme …
series data of America by applying both the long short-term memory (LSTM) and extreme …
[HTML][HTML] Automatic COVID-19 prediction using explainable machine learning techniques
S Solayman, SA Aumi, CS Mery, M Mubassir… - International Journal of …, 2023 - Elsevier
The coronavirus is considered this century's most disruptive catastrophe and global concern.
This disease has prompted extreme social, psychological and economic impacts affecting …
This disease has prompted extreme social, psychological and economic impacts affecting …
[HTML][HTML] Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs
The sudden outbreak of coronavirus disease 2019 (COVID-19) revealed the need for fast
and reliable automatic tools to help health teams. This paper aims to present …
and reliable automatic tools to help health teams. This paper aims to present …
Accurate detection of Covid-19 patients based on Feature Correlated Naïve Bayes (FCNB) classification strategy
The outbreak of Coronavirus (COVID-19) has spread between people around the world at a
rapid rate so that the number of infected people and deaths is increasing quickly every day …
rapid rate so that the number of infected people and deaths is increasing quickly every day …
[HTML][HTML] Ensemble learning model for diagnosing COVID-19 from routine blood tests
Background and objectives The pandemic of novel coronavirus disease 2019 (COVID-19)
has severely impacted human society with a massive death toll worldwide. There is an …
has severely impacted human society with a massive death toll worldwide. There is an …
Machine learning sensors for diagnosis of COVID-19 disease using routine blood values for internet of things application
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 …
Clinical and laboratory approach to diagnose COVID-19 using machine learning
Abstract Coronavirus 2 (SARS-CoV-2), often known by the name COVID-19, is a type of
acute respiratory syndrome that has had a significant influence on both economy and health …
acute respiratory syndrome that has had a significant influence on both economy and health …