Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Abir Elbeji"'
Autor:
Lu Zhang, Guy Fagherazzi, Aurélie Fischer, Gloria Aguayo, Abir Elbéji, Eduardo Higa, Vladimir Despotovic, Petr V Nazarov
Publikováno v:
BMJ Open, Vol 12, Iss 11 (2022)
Objective To develop a vocal biomarker for fatigue monitoring in people with COVID-19.Design Prospective cohort study.Setting Predi-COVID data between May 2020 and May 2021.Participants A total of 1772 voice recordings were used to train an AI-based
Externí odkaz:
https://doaj.org/article/553a0ca5acf14ffe8a3f38b96b04ca41
Publikováno v:
Interactive Journal of Medical Research, Vol 11, Iss 2, p e40655 (2022)
The COVID-19 pandemic accelerated the use of remote patient monitoring in clinical practice or research for safety and emergency reasons, justifying the need for innovative digital health solutions to monitor key parameters or symptoms related to COV
Externí odkaz:
https://doaj.org/article/845be89ae7534ad8acafef2dac750271
Publikováno v:
Digital Biomarkers, Vol 8, Iss 1, Pp 159-170 (2024)
Introduction: The complex health, social, and economic consequences of tobacco smoking underscore the importance of incorporating reliable and scalable data collection on smoking status and habits into research across various disciplines. Given that
Externí odkaz:
https://doaj.org/article/97d972c05e7a496cab088e5ff6eb2721
UNSTRUCTURED The Covid-19 pandemic accelerated the use of remote patient monitoring in clinical practice or research for safety and emergency reasons, justifying the need for innovative digital health solutions to monitor key parameters or symptoms r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbbde2a941229b5c702b246399849fc7
https://doi.org/10.2196/preprints.40655
https://doi.org/10.2196/preprints.40655
Autor:
Abir Elbeji
The novel Coronavirus SARS-CoV-2 (2019-nCoV) is a member of the family Coronaviridae and contains a single-stranded RNA genome with positive-polarity. In order to reveal the evolution mechanism of the SARS-CoV2 genome, in particular its spike protein
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b27e5e8c6cd93b0de35d04b7631f15b
https://doi.org/10.21203/rs.3.rs-271106/v1
https://doi.org/10.21203/rs.3.rs-271106/v1
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Psychological disturbances are frequent following COVID-19. However, there is not much information about whether pre-existing psychological disorders are associated with the severity and evolution of COVID-19. We aimed to explore the associations bet
Externí odkaz:
https://doaj.org/article/e9fa70c5452d4f98920daf61201d4ce4
Autor:
Eduardo Higa, Abir Elbéji, Lu Zhang, Aurélie Fischer, Gloria A Aguayo, Petr V Nazarov, Guy Fagherazzi
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 11, p e35622 (2022)
BackgroundThe COVID-19 disease has multiple symptoms, with anosmia and ageusia being the most prevalent, varying from 75% to 95% and from 50% to 80% of infected patients, respectively. An automatic assessment tool for these symptoms will help monitor
Externí odkaz:
https://doaj.org/article/ec5810a1337f4da5a5d5ffc6cc7d3667
Autor:
Guy Fagherazzi, Lu Zhang, Abir Elbéji, Eduardo Higa, Vladimir Despotovic, Markus Ollert, Gloria A Aguayo, Petr V Nazarov, Aurélie Fischer
Publikováno v:
PLOS Digital Health, Vol 1, Iss 10, p e0000112 (2022)
People with COVID-19 can experience impairing symptoms that require enhanced surveillance. Our objective was to train an artificial intelligence-based model to predict the presence of COVID-19 symptoms and derive a digital vocal biomarker for easily
Externí odkaz:
https://doaj.org/article/490b0da76ed74b4d874dd8aac3b5671c