Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Maher Abdallah"'
Publikováno v:
F1000Research, Vol 13 (2024)
Background Dietary supplements (DS) use among Lebanese patients with type 2 diabetes mellitus (T2DM) increased widely due to the country’s economic and financial situation. This study was conducted (1) to estimate the prevalence of DS use among per
Externí odkaz:
https://doaj.org/article/9072c94f710549849c3c03db318bbb4c
Autor:
Maha Hoteit, Maroun Khattar, Dana Malli, Esraa Antar, Zahraa Al Hassani, Maher Abdallah, Dalia Hachem, Elham Al Manasfi, Abdulrahman Chahine, Nikolaos Tzenios, the Adults-LEBANON-FCS Group
Publikováno v:
Nutrients, Vol 16, Iss 11, p 1784 (2024)
Background: The rates of obesity, undernutrition, and other non-communicable diseases are on the rise among Lebanese adults. Therefore, it is crucial to evaluate the food consumption habits of this population to understand diet quality, analyze consu
Externí odkaz:
https://doaj.org/article/4c725d9e09904cd9af7cf3abfb9a206c
Autor:
Maher Abdallah, Safa Sharbaji, Marwa Sharbaji, Zeina Daher, Tarek Faour, Zeinab Mansour, Mohammad Hneino
Publikováno v:
Diabetology & Metabolic Syndrome, Vol 12, Iss 1, Pp 1-11 (2020)
Abstract Background Risk scores were mainly proved to predict undiagnosed type 2 diabetes mellitus (UT2DM) in a non-invasive manner and to guide earlier clinical treatment. The objective of the present study was to assess the performance of the Finni
Externí odkaz:
https://doaj.org/article/c85e879d20ad42448a0b993a19930468
Publikováno v:
Obesity and Diabetes Research. 2
Autor:
Tarek Faour, Mohammad Hneino, Safa Sharbaji, Zeina Daher, Maher Abdallah, Marwa Sharbaji, Zeinab S. Mansour
Background Risk scores were mainly proved to predict undiagnosed type 2 diabetes mellitus (UT2DM) in a non-invasive manner and to guide earlier clinical treatment. The objective of the present study was to assess the performance of the Finnish Diabet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b94c665c522dec283c2860ed434eaec
https://doi.org/10.21203/rs.3.rs-46875/v1
https://doi.org/10.21203/rs.3.rs-46875/v1
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030645793
LOD (2)
LOD (2)
In regression, feature selection is an effective strategy to handle contaminated data and to deal with high dimensionality while providing better prediction. In addition to the presence of spurious variables, estimators suffer form corrupted, incorre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f539a7bef9fb6534f6720ec303fbbb96
https://doi.org/10.1007/978-3-030-64580-9_53
https://doi.org/10.1007/978-3-030-64580-9_53
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030645793
LOD (2)
LOD (2)
In machine learning problems in general, and in classification in particular, overfitting and inaccuracies can be obtained because of the presence of spurious features and outliers. Unfortunately, this is a frequent situation when dealing with real d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb10802700aa998489d136e84b9a9a5e
https://doi.org/10.1007/978-3-030-64580-9_47
https://doi.org/10.1007/978-3-030-64580-9_47
Autor:
Abdellah Ghenaim, Rabih Ghostine, Georges Kesserwani, Robert Mosé, Maher Abdallah, José Vazquez
Publikováno v:
Advances in Water Resources. 31:287-297
The spectrum of this survey turns on the evaluation of various existing theoretical combining models, when invoked within the internal boundary condition management at a junction. Based on the assumption that: when the Froude number is low (i.e. the
Publikováno v:
Journal de Physique IV (Proceedings). 124:269-274
Les equations de Saint-Venant modelisant l'ecoulement de l'eau a surface libre sont applicables lorsque le fond du lit du canal est fixe. Dans un ecoulement sur une pente a fond mobile, la cote (niveau) du fond varie selon la relation d'Exner qui est
Autor:
Maher, Abdallah, Swillam, Mohamed A.
Publikováno v:
Proceedings of SPIE; 6/20/2023, Vol. 12568, p1256817-1256817, 1p