Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Abdulaziz Ahmed"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background The use of machine learning (ML) in mental health (MH) research is increasing, especially as new, more complex data types become available to analyze. By examining the published literature, this review aims to explore the current
Externí odkaz:
https://doaj.org/article/46494c13df0d4f7da6a649d466a6f5f1
Autor:
Samarra Badrouchi, Mohamed Mongi Bacha, Abdulaziz Ahmed, Taieb Ben Abdallah, Ezzedine Abderrahim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The ability to accurately predict long-term kidney transplant survival can assist nephrologists in making therapeutic decisions. However, predicting kidney transplantation (KT) outcomes is challenging due to the complexity of the factors inv
Externí odkaz:
https://doaj.org/article/7bf6f8c96f2d4dafac559d6840d19037
Autor:
Fahd Ali Alharbi, Mohammed Ahmed Sanguf, Naif Khalid Mahzara, Faris Abdu Alhazmi, Abdulaziz Ahmed Rajhi, Lojain Ibrahim Daak, Wejdan Ali Sharoufna
Publikováno v:
The Egyptian Journal of Otolaryngology, Vol 38, Iss 1, Pp 1-7 (2022)
Abstract Objective The present study aimed at determining the knowledge, attitude, and practice of ear care among Jazan population and its association with sociodemographic variables. Methods This is a cross-sectional study conducted between January
Externí odkaz:
https://doaj.org/article/2a4c98f7156e46b1b7ae8e1b83d3c77f
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Urinary incontinence (UI) is the inability to completely control the process of releasing urine. UI presents a social, medical, and mental issue with financial consequences. Objective This paper proposes a framework based on machi
Externí odkaz:
https://doaj.org/article/1a6330ce5fd84107826dbf5779958e2d
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e46026 (2023)
BackgroundSome of the most vexing issues with the COVID-19 pandemic were the inability of facilities and events, such as schools and work areas, to track symptoms to mitigate the spread of the disease. To combat these challenges, many turned to the i
Externí odkaz:
https://doaj.org/article/9e4f8ae0987a46a29fd2b3259c484485
Autor:
Abdullah Khalid Alsulaim, Turki Hussain Almutaz, Abdulaziz Ahmed Albati, Arshad Husain Rahmani
Publikováno v:
Molecules, Vol 29, Iss 1, p 128 (2023)
This study evaluates the anti-diabetic potential and underlying mechanisms of curcumin in streptozotocin (STZ)-induced type 2 diabetes mellitus (T2DM) rats. The rats were randomly divided into four groups: normal control, negative control (diabetic g
Externí odkaz:
https://doaj.org/article/f39ccf7fce4d49c895b1be97092cb551
Autor:
M. Makhloul, H. Boukhal, E. Chakir, T. El Bardouni, M. Lahdour, M. Kaddour, Abdulaziz Ahmed, A. Arectout, H. El Yaakoubi
Publikováno v:
Nuclear Engineering and Technology, Vol 54, Iss 2, Pp 523-531 (2022)
In order to study the sensitivity and the uncertainty of the Moroccan research reactor TRIGA Mark II, a model of this reactor has been developed in our ERSN laboratory for use with the N-Particle MCNP Monte Carlo transport codes (version 6). In this
Externí odkaz:
https://doaj.org/article/7cdde4224e7d458c996e77ab1224e346
Publikováno v:
Cogent Engineering, Vol 9, Iss 1 (2022)
AbstractThe distribution of a normally distributed hardware is changed to a lower truncated normal distribution after it has been in service for a certain period. Therefore, it is necessary to approximate this type of distribution with simple, applic
Externí odkaz:
https://doaj.org/article/d058ebd0e14f4ad09f36cae8ab5f74fe
Autor:
Nada Esam Tashkandi, Sara Saad Alshanbari, Nasser N Almutairi, Abdullah Ali Al Hawsawi, Abdulaziz Ahmed Abuabah, Abdulelah A Alanazi
Publikováno v:
Saudi Journal of Oral Sciences, Vol 8, Iss 3, Pp 172-176 (2021)
Introduction: The classical skeletal divisions of orthodontic patients are the Angle's classification of Classes I, II, and III and of mandibular inclination into normo-, hypo-, or hyperdivergent. Of these classifications, Class III and hyperdivergen
Externí odkaz:
https://doaj.org/article/529cec1e6fa7497583f82b1f7ad6f346
Publikováno v:
Heliyon, Vol 8, Iss 5, Pp e09370- (2022)
Normally distributed data is crucial for the application of large-scale statistical analysis. To statisticians, the most important assumptions of statistical users are the adequacy of the data and the normal distribution of the data. However, users a
Externí odkaz:
https://doaj.org/article/5bc5e9aa12e04b0797bba8bab70f645f