Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mouhamed Gaith AYADI"'
Publikováno v:
Procedia Computer Science. 207:1027-1036
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1d018654c5867b0fc5f2cfb0670bf1e
https://doi.org/10.1016/j.procs.2022.09.158
https://doi.org/10.1016/j.procs.2022.09.158
Publikováno v:
Social Network Analysis and Mining. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45e80619f728c7675ee33503dd0f7f57
https://doi.org/10.1007/s13278-022-00903-x
https://doi.org/10.1007/s13278-022-00903-x
Publikováno v:
Discovery Science ISBN: 9783031188398
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fad84bdd3cd5d858a153b74868853be3
https://doi.org/10.1007/978-3-031-18840-4_28
https://doi.org/10.1007/978-3-031-18840-4_28
Publikováno v:
Social Network Analysis and Mining. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec250d8a9a4044b226b779c7a9663d1
https://doi.org/10.1007/s13278-021-00848-7
https://doi.org/10.1007/s13278-021-00848-7
Publikováno v:
Software: Practice and Experience. 50:65-86
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f62891df034e10c09c682cdf0f3b0d0
https://doi.org/10.1002/spe.2763
https://doi.org/10.1002/spe.2763
Publikováno v:
International Journal of Healthcare Information Systems and Informatics. 13:13-28
In this article, the authors present a multimodal research model to research medical images based on multimedia information that is extracted from a radiological collaborative social network. The opinions shared on a medical image in a medico-social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2968aa25870de30e73d37fded0f22e17
https://doi.org/10.4018/ijhisi.2018040102
https://doi.org/10.4018/ijhisi.2018040102
Publikováno v:
KES
A growing majority of healthcare professionals, even patients, are seeking out medical social networks (MSNs) to acquire health information. The influence of MSN grows and changes daily, generating a huge volume of medical images, which are diagnosed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b19b2d8a500f0380843c6db3af797ba
https://doi.org/10.1016/j.procs.2017.08.011
https://doi.org/10.1016/j.procs.2017.08.011
Publikováno v:
Lecture Notes in Social Networks ISBN: 9783319510484
Prediction and Inference from Social Networks and Social Media
Prediction and Inference from Social Networks and Social Media
Medical social networking sites enabled multimedia content sharing in large volumes, by allowing physicians and patients to upload their medical images. These images are diagnosed and commented, in different languages, by several specialists instantl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae6398760481fb46e0970718f3ac3800
https://doi.org/10.1007/978-3-319-51049-1_2
https://doi.org/10.1007/978-3-319-51049-1_2
Publikováno v:
International Journal of Computer Applications. 73:34-45
In the medical field, images, and especially digital images, are produced in ever increasing quantities and used for diagnostics and therapy. Imaging has occupied a huge role in the management of patients, whether hospitalized or not. This gave birth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a5627c1eb3def2ee2d5504943721806
https://doi.org/10.5120/12747-9670
https://doi.org/10.5120/12747-9670
Publikováno v:
Social Network Analysis and Mining. 7
Medical social networks have become an exchange of opinions between patients and health professionals. However, patients are anxious to quickly find a reliable analysis and a concise explanation of their medical images and express their queries throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee9550de3032b51b17988b893fa4b8b2
https://doi.org/10.1007/s13278-016-0420-3
https://doi.org/10.1007/s13278-016-0420-3