Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Neila Mezghani"'
Autor:
Lina Abou-Abbas, Nicola Hagemeister, Youssef Ouakrim, Alix Cagnin, Philippe Laundry, Glen Richardson, Michael J. Dunbar, Neila Mezghani
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Background: Characterizing the condition of patients suffering from knee osteoarthritis is complex due to multiple associations between clinical, functional, and structural parameters. While significant variability exists within this populat
Externí odkaz:
https://doaj.org/article/e7cbd48dc7e14b8a95ce4a6e9d4d4be0
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
BackgroundImbalanced datasets pose challenges for developing accurate seizure detection systems based on electroencephalogram (EEG) data. Generative AI techniques may help augment minority class data to facilitate automatic epileptic seizure detectio
Externí odkaz:
https://doaj.org/article/6df73285d2f84d80a10c0b7116a38b94
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
The ability to predict the occurrence of an epileptic seizure is a safeguard against patient injury and health complications. However, a major challenge in seizure prediction arises from the significant variability observed in patient data. Common pa
Externí odkaz:
https://doaj.org/article/7230a94cd5124671bdb3399c58a85362
Autor:
Myriam Ben Arous, Ines Haddar, Alex Truong, Johannes C. Ayena, Youssef Ouakrim, Leila El Kamel, Belkacem Chikhaoui, Neila Mezghani
Publikováno v:
Frontiers in Sensors, Vol 4 (2023)
People with urinary incontinence (UI) often face a significant social stigma feeling ashamed of their condition and worrying about others discovering it. In order to improve the quality of life of those with incontinence, recent technological advance
Externí odkaz:
https://doaj.org/article/3af049d143184a05b40686edcc788201
Autor:
Fatima Bensalma, Nicola Hagemeister, Alix Cagnin, Youssef Ouakrim, Nathalie J. Bureau, Manon Choinière, Neila Mezghani
Publikováno v:
BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-9 (2022)
Abstract Background Conventional radiography is commonly used to diagnose knee osteoarthritis (OA), but also to guide clinical decision-making, despite a well-established discordance between radiographic severity and patient symptoms. The incidence a
Externí odkaz:
https://doaj.org/article/d729a19a5a4b406daae33e5b73c57773
Autor:
Chloé Hatrisse, Claire Macaire, Camille Hebert, Sandrine Hanne-Poujade, Emeline De Azevedo, Fabrice Audigié, Khalil Ben Mansour, Frederic Marin, Pauline Martin, Neila Mezghani, Henry Chateau, Laurence Chèze
Publikováno v:
Sensors, Vol 23, Iss 24, p 9625 (2023)
Back mobility is a criterion of well-being in a horse. Veterinarians visually assess the mobility of a horse’s back during a locomotor examination. Quantifying it with on-board technology could be a major breakthrough to help them. The aim of this
Externí odkaz:
https://doaj.org/article/abad3716cc704ce389831126a9402982
Publikováno v:
IEEE Access, Vol 10, Pp 60141-60150 (2022)
Deep learning has served pattern classification in many applications, with a performance which often well exceeds that of other machine learning paradigms. Yet, in general, deep learning has used computational architectures built, albeit partially, b
Externí odkaz:
https://doaj.org/article/88a9b5015dcb48b69f5d45b8afcda13d
Publikováno v:
IEEE Access, Vol 8, Pp 62841-62854 (2020)
Feature selection is a challenging problem that occurs in the high-dimensional data analysis of many major applications. It addresses the curse of dimensionality by determining a small set of features to represent high-dimensional data without signif
Externí odkaz:
https://doaj.org/article/76768c1a4090487f8ffd5284e2d3a879
Autor:
Fatima Bensalma, Neila Mezghani, Youssef Ouakrim, Alexandre Fuentes, Manon Choinière, Nathalie J. Bureau, Madelaine Durand, Nicola Hagemeister
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-12 (2019)
Abstract Background Biomechanical and clinical parameters contribute very closely to functional evaluations of the knee joint. To better understand knee osteoarthritis joint function, the association between a set of knee biomechanical data and a set
Externí odkaz:
https://doaj.org/article/6c3f95cd9c704cbb87a22fb406be7b11
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4181 (2022)
Monitoring patients at risk of epileptic seizure is critical for optimal treatment and ensuing the reduction of seizure risk and complications. In general, seizure detection is done manually in hospitals and involves time-consuming visual inspection
Externí odkaz:
https://doaj.org/article/6efe8267e5ba44a7b238fc3b5ae8794f