Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Tuka Alhanai"'
Autor:
Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu, Sidahmed Benabderrahmane, Bashar Alhafni, Wifag Adnan, Tuka Alhanai, Bedoor AlShebli, Riyadh Baghdadi, Jocelyn J. Bélanger, Elena Beretta, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, Andras Gyorgy, Nizar Habash, J. Andrew Harris, Aaron Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the increasing accessibility of such technology, students across the
Externí odkaz:
https://doaj.org/article/a6143f2fd5e34aaaad35420a046e6a19
Autor:
Kathleen M Andersen, Farid L Khan, Peter W Park, Timothy L Wiemken, Birol Emir, Deepa Malhotra, Tuka Alhanai, Mohammad M Ghassemi, Leah J McGrath
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0300570 (2024)
ObjectiveTo create a data-driven definition of post-COVID conditions (PCC) by directly measure changes in symptomatology before and after a first COVID episode.Materials and methodsRetrospective cohort study using Optum® de-identified Electronic Hea
Externí odkaz:
https://doaj.org/article/29538892b8224882afb50500571d2334
Autor:
Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu, Sidahmed Benabderrahmane, Bashar Alhafni, Wifag Adnan, Tuka Alhanai, Bedoor AlShebli, Riyadh Baghdadi, Jocelyn J. Bélanger, Elena Beretta, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, Andras Gyorgy, Nizar Habash, J. Andrew Harris, Aaron Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/c15b0814ec9a486f8393a68fa4d18f45
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
Introduction: Developing reliable medication dosing guidelines is challenging because individual dose–response relationships are mitigated by both static (e. g., demographic) and dynamic factors (e.g., kidney function). In recent years, several dat
Externí odkaz:
https://doaj.org/article/a81846f9b8264a9c8f8c99cabaf726b2
Publikováno v:
Frontiers in Digital Health, Vol 2 (2021)
Electroencephalography (EEG) is used in the diagnosis, monitoring, and prognostication of many neurological ailments including seizure, coma, sleep disorders, brain injury, and behavioral abnormalities. One of the primary challenges of EEG data is it
Externí odkaz:
https://doaj.org/article/b7dacb9e9ec94b598494f75cd9e98880
Publikováno v:
Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries.
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
Frontiers in Digital Health
Frontiers in Digital Health
Introduction: Developing reliable medication dosing guidelines is challenging because individual dose–response relationships are mitigated by both static (e. g., demographic) and dynamic factors (e.g., kidney function). In recent years, several dat
Electroencephalography (EEG) has countless applications across many of fields. However, EEG applications are limited by low signal-to-noise ratios. Multiple types of artifacts contribute to the noisiness of EEG, and many techniques have been proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f09ad64ddfeb134f83a285942c775f15
Publikováno v:
BIBM
Electrode “pop” artifacts originate from the spontaneous loss of connectivity between a surface and an electrode. Electroencephalography (EEG) uses a dense array of electrodes, hence popped segments are among the most pervasive type of artifact s
Autor:
Benjamin M. Scirica, Lawrence J. Hirsch, Susan T. Herman, Emery N. Brown, Adithya Sivaraju, Siddharth Biswal, Jong W. Lee, Mohammad M. Ghassemi, M. Brandon Westover, Valdery Moura Junior, Tuka Alhanai, Sydney S. Cash, Edilberto Amorim, Roger G. Mark, Nicolas Gaspard
Publikováno v:
PMC
Critical care medicine, 47 (10
Critical care medicine, 47 (10
OBJECTIVES: Electroencephalogram features predict neurologic recovery following cardiac arrest. Recent work has shown that prognostic implications of some key electroencephalogram features change over time. We explore whether time dependence exists f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09e290874b4e971278ef09b1cd1f2fc8
https://hdl.handle.net/1721.1/132385
https://hdl.handle.net/1721.1/132385