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 …
[HTML][HTML] A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: pre-diabetes, T1DM, and T2DM
Glucose is the primary source of energy for cells, which are the building blocks of life. It is
given to the body by insulin that carries out the metabolic tasks that keep people alive …
given to the body by insulin that carries out the metabolic tasks that keep people alive …
A survey of COVID-19 diagnosis using routine blood tests with the aid of artificial intelligence techniques
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), causing a disease
called COVID-19, is a class of acute respiratory syndrome that has considerably affected the …
called COVID-19, is a class of acute respiratory syndrome that has considerably affected the …
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
Abstract According to the World Health Organization (WHO), Pneumonia, COVID-19,
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
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 …
An ensemble learning model for COVID-19 detection from blood test samples
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 …
COVICT: an IoT based architecture for COVID-19 detection and contact tracing
The world we live in has been taken quite surprisingly by the outbreak of a novel virus
namely SARS-CoV-2. COVID-19 ie the disease associated with the virus, has not only …
namely SARS-CoV-2. COVID-19 ie the disease associated with the virus, has not only …
[HTML][HTML] COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy
The COVID-19 pandemic exposed the importance of research on the spread of epidemic
diseases. In this paper, we apply Artificial Intelligence and statistics techniques to build …
diseases. In this paper, we apply Artificial Intelligence and statistics techniques to build …
BIO-CXRNET: A robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study
presents a multimodal system to meet this need. The presented system employs a machine …
presents a multimodal system to meet this need. The presented system employs a machine …
NDDNet: A deep learning model for predicting neurodegenerative diseases from gait pattern
Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons
which affects the motor capacity of the patient. Particularly the walking gait is greatly …
which affects the motor capacity of the patient. Particularly the walking gait is greatly …