[HTML][HTML] Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
N Alballa, I Al-Turaiki - Informatics in medicine unlocked, 2021 - Elsevier
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 …
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 …
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 …
Symptom‐Based COVID‐19 Prognosis through AI‐Based IoT: A Bioinformatics Approach
Objective. Internet of Things (IoT) integrates several technologies where devices learn from
the experience of each other thereby reducing human‐intervened likely errors. Modern …
the experience of each other thereby reducing human‐intervened likely errors. Modern …
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 …
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 …
Machine learning approaches in Covid-19 severity risk prediction in Morocco
The purpose of this study is to develop and test machine learning-based models for COVID-
19 severity prediction. COVID-19 test samples from 337 COVID-19 positive patients at …
19 severity prediction. COVID-19 test samples from 337 COVID-19 positive patients at …
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 …
A survey of COVID-19 diagnosis using routine blood tests with the aid of artificial intelligence techniques
S Abbasi Habashi, M Koyuncu, R Alizadehsani - Diagnostics, 2023 - mdpi.com
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 …
Battling COVID-19 using machine learning: A review
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) known as
Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is …
Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is …