Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Adam Fadlalla"'
Autor:
Ahmad Abujaber, Adam Fadlalla, Diala Gammoh, Husham Abdelrahman, Monira Mollazehi, Ayman El-Menyar
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background The study aimed to introduce a machine learning model that predicts in-hospital mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic brain injury (TBI). Methods A retrospective analysis was c
Externí odkaz:
https://doaj.org/article/2bf86a67a8274f3781cb5243b737fe56
Autor:
Ahmad Abujaber, Adam Fadlalla, Diala Gammoh, Husham Abdelrahman, Monira Mollazehi, Ayman El-Menyar
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 28, Iss 1, Pp 1-10 (2020)
Abstract Background The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. Several studies prove that the machine learning predictive techniques outperform the classical multivariate techniques
Externí odkaz:
https://doaj.org/article/2e8a96788ee7405db79d19cbc6f80c99
Publikováno v:
Informatics in Medicine Unlocked, Vol 33, Iss , Pp 101090- (2022)
It has been reported that the healthcare industry is the slowest adopter of artificial intelligence methods, particularly machine learning (ML), compared to other industries. However, ML can provide unprecedented opportunities for clinical decision-m
Externí odkaz:
https://doaj.org/article/507e0f6c8055461a930d3e68a39c8654
Autor:
Ahmad Abujaber, Adam Fadlalla, Diala Gammoh, Husham Abdelrahman, Monira Mollazehi, Ayman El-Menyar
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0235231 (2020)
OBJECTIVES:We aimed to build a machine learning predictive model to predict the risk of prolonged mechanical ventilation (PMV) for patients with Traumatic Brain Injury (TBI). METHODS:This study included TBI patients who were hospitalized in a level 1
Externí odkaz:
https://doaj.org/article/839b247d1d454bcf8e40e7324ee179fc
Autor:
Adam Fadlalla, Toshinori Munakata
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
We consider the generation of stochastic data under constraints where the constraints can be expressed in terms of different parameter sets. Obviously, the constraints and the generated data must remain the same over each parameter set. Otherwise, th
Externí odkaz:
https://doaj.org/article/49a31528d5be46a2b92d69f7b90ba8e3
Autor:
Adam Fadlalla, Farzaneh Amani
Publikováno v:
Journal of Enterprise Information Management, 2015, Vol. 28, Issue 5, pp. 637-657.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEIM-09-2014-0090
Publikováno v:
Brain Injury. 35:1095-1102
Background There is paucity in the literature to predict the occurrence of Ventilator Associated Pneumonia (VAP) in patients with Traumatic Brain Injury (TBI). We aimed to build a C.5. Decision Tree (C.5 DT) machine learning model to predict VAP in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::849722e0fd0b0c3ebbbfbf6fedcd1afa
https://doi.org/10.1080/02699052.2021.1959060
https://doi.org/10.1080/02699052.2021.1959060
Publikováno v:
Journal of Business Research. 131:402-410
The momentum has been building toward the realisation of the United Nations Development Programme's Sustainable Development Goals (SDGs). In this regard, technological upgrading through the adoption of innovative technologies, as in big data analytic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f98926531e6ad2092faba0bbb1e78ca
https://doi.org/10.1016/j.jbusres.2020.10.066
https://doi.org/10.1016/j.jbusres.2020.10.066
Autor:
Ayman El-Menyar, Husham Abdelrahman, Diala Gammoh, Monira Mollazehi, Ahmad Abujaber, Adam Fadlalla
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-11 (2020)
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-11 (2020)
Background The study aimed to introduce a machine learning model that predicts in-hospital mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic brain injury (TBI). Methods A retrospective analysis was conducted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16e3d73a94139bc8ee5dde7b6ce6de5c
https://pubmed.ncbi.nlm.nih.gov/33317528
https://pubmed.ncbi.nlm.nih.gov/33317528
Publikováno v:
Intelligence-Based Medicine. 6:100052
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f1a106e2ed35c69bd8bee4161f7829
https://doi.org/10.1016/j.ibmed.2022.100052
https://doi.org/10.1016/j.ibmed.2022.100052