[HTML][HTML] Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
G Chassagnon, M Vakalopoulou, E Battistella… - Medical image …, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) emerged in 2019 and disseminated around
the world rapidly. Computed tomography (CT) imaging has been proven to be an important …
the world rapidly. Computed tomography (CT) imaging has been proven to be an important …
Diagnosis/prognosis of covid-19 chest images via machine learning and hypersignal processing: Challenges, opportunities, and applications
The novel coronavirus disease, COVID-19, has rapidly and abruptly changed the world as
we knew it in 2020. It has become the most unprecedented challenge to analytic …
we knew it in 2020. It has become the most unprecedented challenge to analytic …
Chest CT characteristics are strongly predictive of mortality in patients with COVID-19 pneumonia: a multicentric cohort study
N Malécot, J Chrusciel, S Sanchez, P Sellès, C Goetz… - Academic …, 2022 - Elsevier
Rationale and Objectives The novel coronavirus (COVID-19) has presented a significant
and urgent threat to global health and there has been a need to identify prognostic factors in …
and urgent threat to global health and there has been a need to identify prognostic factors in …
[HTML][HTML] Review of recent technologies for tackling COVID-19
A Alharbi, MD Abdur Rahman - SN Computer Science, 2021 - Springer
The current pandemic caused by the COVID-19 virus requires more effort, experience, and
science-sharing to overcome the damage caused by the pathogen. The fast and wide …
science-sharing to overcome the damage caused by the pathogen. The fast and wide …
[HTML][HTML] Enterprise marketing strategy using big data mining technology combined with XGBoost model in the new economic era
H Chen - Plos one, 2023 - journals.plos.org
The technological development in the new economic era has brought challenges to
enterprises. Enterprises need to use massive and effective consumption information to …
enterprises. Enterprises need to use massive and effective consumption information to …
A deep learning approach for improved segmentation of lesions related to covid-19 chest ct scans
The current coronavirus pandemic (COVID-19) became a world-wide threat, infecting more
than 42 million people since its outbreak in early 2020. Recent studies show that analyzing …
than 42 million people since its outbreak in early 2020. Recent studies show that analyzing …
Diagnosis/prognosis of covid-19 images: Challenges, opportunities, and applications
The novel Coronavirus disease, COVID-19, has rapidly and abruptly changed the world as
we knew in 2020. It becomes the most unprecedent challenge to analytic epidemiology in …
we knew in 2020. It becomes the most unprecedent challenge to analytic epidemiology in …
Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia
C Arru, S Ebrahimian, Z Falaschi, JV Hansen… - Clinical Imaging, 2021 - Elsevier
Purpose Comparison of deep learning algorithm, radiomics and subjective assessment of
chest CT for predicting outcome (death or recovery) and intensive care unit (ICU) admission …
chest CT for predicting outcome (death or recovery) and intensive care unit (ICU) admission …