Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
[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 …
Comparing machine learning algorithms for predicting COVID-19 mortality
K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …
Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases
A Syrowatka, M Kuznetsova, A Alsubai… - NPJ digital …, 2021 - nature.com
Artificial intelligence (AI) represents a valuable tool that could be widely used to inform
clinical and public health decision-making to effectively manage the impacts of a pandemic …
clinical and public health decision-making to effectively manage the impacts of a pandemic …
Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments
Between January and October of 2020, the severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) virus has infected more than 34 million persons in a worldwide pandemic …
(SARS-CoV-2) virus has infected more than 34 million persons in a worldwide pandemic …
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of …
G Lăzăroiu, T Gedeon, E Rogalska… - Oeconomia …, 2024 - cejsh.icm.edu.pl
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data
SS Zakariaee, N Naderi, M Ebrahimi… - Scientific reports, 2023 - nature.com
Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies
such as artificial intelligence (AI) had been introduced for mortality prediction of COVID-19 …
such as artificial intelligence (AI) had been introduced for mortality prediction of COVID-19 …
Empirical study on classifiers for earlier prediction of COVID-19 infection cure and death rate in the Indian states
Machine Learning methods can play a key role in predicting the spread of respiratory
infection with the help of predictive analytics. Machine Learning techniques help mine data …
infection with the help of predictive analytics. Machine Learning techniques help mine data …
[HTML][HTML] Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic
Abstract Background and aims Artificial Intelligence (AI) shows extensive capabilities to
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …
[HTML][HTML] ABC2-SPH risk score for in-hospital mortality in COVID-19 patients: development, external validation and comparison with other available scores
Objectives The majority of available scores to assess mortality risk of coronavirus disease
2019 (COVID-19) patients in the emergency department have high risk of bias. Therefore …
2019 (COVID-19) patients in the emergency department have high risk of bias. Therefore …