Zobrazeno 1 - 10
of 617
pro vyhledávání: '"KHAN, RABIA"'
Autor:
Velardo, Carmelo, Clifton, David, Hamblin, Steven, Khan, Rabia, Tarassenko, Lionel, Mackillop, Lucy
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 3, p e21435 (2021)
BackgroundSuccessful management of gestational diabetes mellitus (GDM) reduces the risk of morbidity in women and newborns. A woman’s blood glucose readings and risk factors are used by clinical staff to make decisions regarding the initiation of p
Externí odkaz:
https://doaj.org/article/978de4270e134861aac11c9aee1d4b08
Autor:
Khan, Rabia1 (AUTHOR), Farooq, Muhammad Shoaib1 (AUTHOR), Khelifi, Adel2 (AUTHOR), Ahmad, Umer3 (AUTHOR), Ahmad, Faizan4 (AUTHOR) fahmad@cardiffmet.ac.uk, Riaz, Shamyla1 (AUTHOR)
Publikováno v:
Scientific Reports. 9/29/2024, Vol. 14 Issue 1, p1-18. 18p.
Autor:
Khan, Rabia1 (AUTHOR) 211868@students.au.edu.pk, Tariq, Noshina1 (AUTHOR) noshina.tariq@mail.au.edu.pk, Ashraf, Muhammad2 (AUTHOR) muhammad.ashraf@seecs.edu.pk, Khan, Farrukh Aslam3 (AUTHOR) fakhan@ksu.edu.sa, Shafi, Saira1 (AUTHOR) 211862@students.au.edu.pk, Ali, Aftab4 (AUTHOR) a.ali@ulster.ac.uk
Publikováno v:
Sensors (14248220). Sep2024, Vol. 24 Issue 17, p5834. 25p.
Autor:
Barrett, Lucas D.G., Ryckman, Kelli K., Goedken, Amber M., Steinbach, Emily J., van der Plas, Ellen, Beasley, Gary, Khan, Rabia S., Exil, Vernat, Axelrod, David A., Harshman, Lyndsay A.
Publikováno v:
In American Journal of Transplantation July 2024 24(7):1267-1278
Publikováno v:
In Biomass and Bioenergy June 2024 185
Autor:
Farid, Muhammad Usman, Kharraz, Jehad A., Sharma, Samriddhi, Khan, Rabia Jalil, Khanzada, Noman Khalid, Deka, Bhaskar Jyoti, Nallapaneni, Manoj Kumar, Chopra, Shaurhat S., Leu, Shao-Yuan, Hasan, Shadi W., Hilal, Nidal, An, Alicia K.J.
Publikováno v:
In Desalination 6 April 2024 574
Autor:
Khan, Rabia Jalil, Lau, Chun Yin, Farid, Muhammad Usman, Islam, Md Khairul, An, Alicia Kyoungjin, Yi, Jiang, Leu, Shao-Yuan
Publikováno v:
In Process Safety and Environmental Protection February 2024 182:595-607
Autor:
Jones, Dary1 (AUTHOR) d.kfjones90@gmail.com, Khan, Rabia S.2,3 (AUTHOR) r.s.khan@salford.ac.uk, Thompson, John D.4 (AUTHOR) john.thompson@mbht.nhs.uk, Ucer, Cemal2 (AUTHOR) profwright@glencairndental.co.uk, Wright, Simon2 (AUTHOR)
Publikováno v:
Surgeries (2673-4095). Jun2024, Vol. 5 Issue 2, p297-341. 45p.
Autor:
Carr, Oliver, Jovanovic, Stojan, Albergante, Luca, Andreotti, Fernando, Dürichen, Robert, Lipunova, Nadia, Baxter, Janie, Khan, Rabia, Irving, Benjamin
Determining phenotypes of diseases can have considerable benefits for in-hospital patient care and to drug development. The structure of high dimensional data sets such as electronic health records are often represented through an embedding of the da
Externí odkaz:
http://arxiv.org/abs/2012.13233
Autor:
Andreotti, Fernando, Heldt, Frank S., Abu-Jamous, Basel, Li, Ming, Javer, Avelino, Carr, Oliver, Jovanovic, Stojan, Lipunova, Nadezda, Irving, Benjamin, Khan, Rabia T., Dürichen, Robert
In this work, we propose a multi-task recurrent neural network with attention mechanism for predicting cardiovascular events from electronic health records (EHRs) at different time horizons. The proposed approach is compared to a standard clinical ri
Externí odkaz:
http://arxiv.org/abs/2007.08491