Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nourah AlSwaidan"'
Autor:
Imad M. Tleyjeh, Tarek Kashour, Muhammad Riaz, Samar A. Amer, Nourah AlSwaidan, Laila Almutairi, Rabih Halwani, Abdullah Assiri
Publikováno v:
Journal of Infection and Public Health, Vol 15, Iss 5, Pp 578-585 (2022)
Background: Post-acute COVID-19 syndrome (PACS) is an important healthcare burden. We examined persistent symptoms in COVID-19 patients at least four weeks after the onset of infection, participants’ return to pre-COVID-19 health status and associa
Externí odkaz:
https://doaj.org/article/938b040ce4f14b648e50a5f885b5144e
Autor:
Imad M. Tleyjeh, Basema Saddik, Rakhee K. Ramakrishnan, Nourah AlSwaidan, Ahmed AlAnazi, Deema Alhazmi, Ahmad Aloufi, Fahad AlSumait, Elie F. Berbari, Rabih Halwani
Publikováno v:
Journal of Infection and Public Health, Vol 15, Iss 1, Pp 21-28 (2022)
Background: Post-acute COVID-19 syndrome (PACS) is an emerging healthcare burden. We therefore aimed to determine predictors of different functional outcomes after hospital discharge in patients with COVID-19. Methods: An ambidirectional cohort study
Externí odkaz:
https://doaj.org/article/0b4d8ea47ef7408ea01029305aa7e2d5
Publikováno v:
IEEE Access, Vol 8, Pp 37843-37854 (2020)
In recent years, research into developing state-of-the-art models for Arabic natural language processing tasks has gained momentum. These models must address the added difficulties related to the nature and structure of the Arabic language. In this p
Externí odkaz:
https://doaj.org/article/3603aeb24ca44965a5fdaa07aab1d1a3
Autor:
Imad M. Tleyjeh, Basema Saddik, Nourah AlSwaidan, Ahmed AlAnazi, Rakhee K. Ramakrishnan, Deema Alhazmi, Ahmad Aloufi, Fahad AlSumait, Elie Berbari, Rabih Halwani
Publikováno v:
PLoS ONE, Vol 16, Iss 12 (2021)
Background Post-acute COVID-19 syndrome (PACS) is an emerging healthcare burden. The risk factors associated with PACS remain largely unclear. The aim of this study was to evaluate the frequency of new or persistent symptoms in COVID-19 patients post
Externí odkaz:
https://doaj.org/article/b0da056c8db54523b76b3e8fa2ffcb24
Autor:
Ayman Al-Jazaeri, Lama Alshwairikh, Manar A. Aljebreen, Nourah AlSwaidan, Tarfah Al-Obaidan, Abdulrahman Alzahem
Publikováno v:
Annals of Saudi Medicine, Vol 37, Iss 4, Pp 290-296 (2017)
BACKGROUND: Faced with growing healthcare demand, the Saudi government is increasingly relying on privatization as a tool to improve patient access to care. Variation in children's access to surgical care between public (PB) and private providers (PV
Externí odkaz:
https://doaj.org/article/39a18bf6bf714d79bedfdc17a4440b74
Publikováno v:
Knowledge and Information Systems. 62:2937-2987
Emotion recognition in text is an important natural language processing (NLP) task whose solution can benefit several applications in different fields, including data mining, e-learning, information filtering systems, human–computer interaction, an
Publikováno v:
SemEval@NAACL-HLT
We proposed a model to address emotion recognition in textual conversation based on using automatically extracted features and human engineered features. The proposed model utilizes a fast gated-recurrent-unit backed by CuDNN, and a convolutional neu
Autor:
Manar A. Aljebreen, Tarfah Al-Obaidan, Nourah Alswaidan, Lama A Alshwairikh, Abdulrahman Alzahem, Ayman Al-Jazaeri
Publikováno v:
Annals of Saudi Medicine, Vol 37, Iss 4, Pp 290-296 (2017)
BACKGROUND: Faced with growing healthcare demand, the Saudi government is increasingly relying on privatization as a tool to improve patient access to care. Variation in children's access to surgical care between public (PB) and private providers (PV
Publikováno v:
2014 Science and Information Conference.
Cellular phones and other hand-held devices are now extensively used to write emails, notes and long texts. However, the arrangement of keys in the current keyboards is not optimized to facilitate rapid and ergonomic typing. In this paper, we aim to
Publikováno v:
BMJ Open
Objective To evaluate accuracy of content and readability level of English Wikipedia articles on cardiovascular diseases, using quality and readability tools. Methods Wikipedia was searched on the 6 October 2013 for articles on cardiovascular disease