Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
Artificial intelligence and COVID-19 using chest CT scan and chest X-ray images: machine learning and deep learning approaches for diagnosis and treatment
Objective: To report an overview and update on Artificial Intelligence (AI) and COVID-19
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …
Machine learning techniques for chronic kidney disease risk prediction
Chronic kidney disease (CKD) is a condition characterized by progressive loss of kidney
function over time. It describes a clinical entity that causes kidney damage and affects the …
function over time. It describes a clinical entity that causes kidney damage and affects the …
[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 …
Conventional and novel diagnostic tools for the diagnosis of emerging SARS-CoV-2 variants
Accurate identification at an early stage of infection is critical for effective care of any
infectious disease. The “coronavirus disease 2019 (COVID-19)” outbreak, caused by the …
infectious disease. The “coronavirus disease 2019 (COVID-19)” outbreak, caused by the …
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 …
An intelligent ECG-based tool for diagnosing COVID-19 via ensemble deep learning techniques
O Attallah - Biosensors, 2022 - mdpi.com
Diagnosing COVID-19 accurately and rapidly is vital to control its quick spread, lessen
lockdown restrictions, and decrease the workload on healthcare structures. The present …
lockdown restrictions, and decrease the workload on healthcare structures. The present …
Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
Hc-covid: A hierarchical crowdsource knowledge graph approach to explainable covid-19 misinformation detection
The proliferation of social media has promoted the spread of misinformation that raises
many concerns in our society. This paper focuses on a critical problem of explainable …
many concerns in our society. This paper focuses on a critical problem of explainable …
A decision support system for diagnosis of COVID-19 from non-COVID-19 influenza-like illness using explainable artificial intelligence
The coronavirus pandemic emerged in early 2020 and turned out to be deadly, killing a vast
number of people all around the world. Fortunately, vaccines have been discovered, and …
number of people all around the world. Fortunately, vaccines have been discovered, and …