Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mohamed-Hamza Ibrahim"'
Publikováno v:
Frontiers in Psychiatry, Vol 9 (2019)
Background: Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However, identifying objective biomarkers, prior to or early in the course of treatment that can predict antidepressant efficacy, remains a challe
Externí odkaz:
https://doaj.org/article/e00d7b0e411e4bb185f4fa54b25bba76
Autor:
Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Lyme disease is one of the most commonly reported infectious diseases in the United States (US), accounting for more than $$90\%$$ 90 % of all vector-borne diseases in North America. Objective In this paper, self-reported tweets o
Externí odkaz:
https://doaj.org/article/d90c2aa56e4b427e87201154ab283500
Autor:
Elda Kokoe Elolo Laison, Mohamed Hamza Ibrahim, Srikanth Boligarla, Jiaxin Li, Raja Mahadevan, Austen Ng, Venkataraman Muthuramalingam, Wee Yi Lee, Yijun Yin, Bouchra R Nasri
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e47014 (2023)
BackgroundLyme disease is among the most reported tick-borne diseases worldwide, making it a major ongoing public health concern. An effective Lyme disease case reporting system depends on timely diagnosis and reporting by health care professionals,
Externí odkaz:
https://doaj.org/article/431d8309095f44f49c24162e5d2fe156
Publikováno v:
IEEE Access, Vol 9, Pp 159549-159565 (2021)
Identifying important actors (or nodes) in a two-mode network is a crucial challenge in mining, analyzing, and interpreting real-world networks. While traditional bipartite centrality indices are often used to recognize key nodes that influence the n
Externí odkaz:
https://doaj.org/article/bec0dd3bab344d348c6ab36ff1a05b99
Publikováno v:
IEEE Access, Vol 8, Pp 206901-206913 (2020)
Discovering influential nodes (or actors) in the network is often the key task of mining, analyzing, and understanding real-life networks. Centrality measures are commonly used to detect important nodes that control the information propagation in the
Externí odkaz:
https://doaj.org/article/bb5328908e4f419490d8a542f3157dbf
Autor:
Elda K. E. Laison, Mohamed Hamza Ibrahim, Srikanth Boligarla, Jiaxin Li, Raja Mahadevan, Austen Ng, Venkataraman Muthuramalingam, Jack Wee Yi Lee, Yijun Yin, Bouchra Nasri
BACKGROUND Lyme disease is the most prevalent tick-borne disease in the Northern Hemisphere. Delayed treatment can exacerbate symptoms and result in more severe cases, making this condition a major public health concern in the coming years. Additiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0af40b373f3fa71198ae128c667ed1e
https://doi.org/10.2196/preprints.47014
https://doi.org/10.2196/preprints.47014
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 90:1083-1105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8d485149299bb1fe696543da2d75cd6
https://doi.org/10.1007/s10472-022-09784-4
https://doi.org/10.1007/s10472-022-09784-4
Autor:
Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Fiona Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri
Background: Lyme disease is one of the most commonly reported infectious diseases in the United States (US), accounting for more than 90% of all vector-borne diseases in North America. Objective: In this paper, self-reported tweets on Twitter were an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93e26ec976bbdab794f4cc903f1cb229
https://doi.org/10.21203/rs.3.rs-2136402/v1
https://doi.org/10.21203/rs.3.rs-2136402/v1
Autor:
Rokia Missaoui, Mohamed Hamza Ibrahim
Publikováno v:
Data Mining and Knowledge Discovery. 35:248-289
Clustering is a crucial step in scientific data analysis and engineering systems. Thus, an efficient cluster analysis method often remains a key challenge. In this paper, we introduce a general purpose exemplar-based clustering method called (MEGA),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b632d6c76a1f0e1a3aec94927fae017
https://doi.org/10.1007/s10618-020-00720-w
https://doi.org/10.1007/s10618-020-00720-w
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 88:907-949
A wide range of important problems in machine learning, expert system, social network analysis, bioinformatics and information theory can be formulated as a maximum a-posteriori (MAP) inference problem on statistical relational models. While off-the-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfd4e5793f854381c96f3e644935c0ab
https://doi.org/10.1007/s10472-020-09698-z
https://doi.org/10.1007/s10472-020-09698-z