An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works
Abstract The World Health Organization (WHO) declared a pandemic in response to the
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
Predictive models for COVID-19 detection using routine blood tests and machine learning
YV Kistenev, DA Vrazhnov, EE Shnaider, H Zuhayri - Heliyon, 2022 - cell.com
The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now.
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …
The importance of being external. methodological insights for the external validation of machine learning models in medicine
Abstract Background and Objective Medical machine learning (ML) models tend to perform
better on data from the same cohort than on new data, often due to overfitting, or co-variate …
better on data from the same cohort than on new data, often due to overfitting, or co-variate …
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 …
[HTML][HTML] A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Abstract Several Artificial Intelligence-based models have been developed for COVID-19
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …
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 …
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
KM Kuo, PC Talley, CS Chang - International journal of medical informatics, 2022 - Elsevier
Objective COVID-19 is a novel, severely contagious disease with enormous negative impact
on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID …
on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID …
Domain shifts in machine learning based Covid-19 diagnosis from blood tests
Many previous studies claim to have developed machine learning models that diagnose
COVID-19 from blood tests. However, we hypothesize that changes in the underlying …
COVID-19 from blood tests. However, we hypothesize that changes in the underlying …
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 …
Detection of COVID-19 by machine learning using routine laboratory tests
HC Çubukçu, Dİ Topcu, N Bayraktar… - American journal of …, 2022 - academic.oup.com
Objectives The present study aimed to develop a clinical decision support tool to assist
coronavirus disease 2019 (COVID-19) diagnoses with machine learning (ML) models using …
coronavirus disease 2019 (COVID-19) diagnoses with machine learning (ML) models using …