Zobrazeno 1 - 10
of 234
pro vyhledávání: '"Kamran Sedig"'
Publikováno v:
IEEE Access, Vol 9, Pp 26968-26982 (2021)
With the increasing size and complexity of next-generation communication networks, it is critical to utilize interactive visualizations to support the monitoring, planning, and management of networks. Effectively visualizing large-scale networks is d
Externí odkaz:
https://doaj.org/article/1dffbf9c6d5741dbad14f0dc4012d63f
Autor:
Anton Ninkov, Kamran Sedig
Publikováno v:
Information, Vol 13, Iss 4, p 201 (2022)
Nowadays, many people are deeply concerned about their physical well-being; as a result, they invest much time and effort investigating health-related topics. In response to this, many online websites and social media profiles have been created, resu
Externí odkaz:
https://doaj.org/article/22d9530797534916b30d0415947e510c
Publikováno v:
Informatics, Vol 9, Iss 1, p 17 (2022)
Laboratory tests play an essential role in the early and accurate diagnosis of diseases. In this paper, we propose SUNRISE, a visual analytics system that allows the user to interactively explore the relationships between laboratory test results and
Externí odkaz:
https://doaj.org/article/272925043b0949e595064b6b0384bf30
Autor:
Jonathan Demelo, Kamran Sedig
Publikováno v:
Information, Vol 13, Iss 1, p 8 (2021)
We investigate the design of ontology-supported, progressively disclosed visual analytics interfaces for searching and triaging large document sets. The goal is to distill a set of criteria that can help guide the design of such systems. We begin wit
Externí odkaz:
https://doaj.org/article/706bef57d1024f4792f23661093f45d1
Autor:
Abdullah, Sheikh S., Rostamzadeh, Neda, Muanda, Flory T., McArthur, Eric, Weir, Matthew A., Sontrop, Jessica M., Kim, Richard B., Kamran, Sedig, Garg, Amit X.
Publikováno v:
Canadian Journal of Kidney Health & Disease; 1/6/2024, p1-16, 16p
Autor:
Jonathan Demelo, Kamran Sedig
Publikováno v:
Information, Vol 12, Iss 8, p 317 (2021)
In this paper, we investigate ontology-supported interfaces for health informatics search tasks involving large document sets. We begin by providing background on health informatics, machine learning, and ontologies. We review leading research on hea
Externí odkaz:
https://doaj.org/article/553c3b0d0b8d4f62ac607fe6107090f8
Publikováno v:
Information, Vol 12, Iss 9, p 344 (2021)
The use of data analysis techniques in electronic health records (EHRs) offers great promise in improving predictive risk modeling. Although useful, these analysis techniques often suffer from a lack of interpretability and transparency, especially w
Externí odkaz:
https://doaj.org/article/42c744238c664c0fbbe44e0857756b97
Publikováno v:
Data, Vol 6, Iss 8, p 85 (2021)
Multimorbidity is a growing healthcare problem, especially for aging populations. Traditional single disease-centric approaches are not suitable for multimorbidity, and a holistic framework is required for health research and for enhancing patient ca
Externí odkaz:
https://doaj.org/article/7a161eb2befd4cb1b8791f828ab40f5e
Publikováno v:
Human Technology, Vol 13, Iss 2, Pp 180-215 (2017)
Evidence-based health care (EBHC) has given rise to expectations that decision-making be tethered to more high-quality information. As health information technologies (HITs) acquire an increasingly vital role in the information processes involved in
Externí odkaz:
https://doaj.org/article/cea2ece47e9e4e1ebde83ccdd87463ef
Publikováno v:
Informatics, Vol 8, Iss 1, p 12 (2021)
The increasing use of electronic health record (EHR)-based systems has led to the generation of clinical data at an unprecedented rate, which produces an untapped resource for healthcare experts to improve the quality of care. Despite the growing dem
Externí odkaz:
https://doaj.org/article/74c4649ca15640f09223e0d3227c58e4