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pro vyhledávání: '"Artificial intelligence-based predictive analytics"'
Akademický článek
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Akademický článek
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Autor:
Prasanalakshmi Balaji, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Rajanikanth Aluvalu
Publikováno v:
PeerJ Computer Science, Vol 9, p e1387 (2023)
One of the leading causes of death among people around the world is skin cancer. It is critical to identify and classify skin cancer early to assist patients in taking the right course of action. Additionally, melanoma, one of the main skin cancer il
Externí odkaz:
https://doaj.org/article/a8f37ce768974712987ae86e4a6fa8f9
Autor:
Jessica Keim‐Malpass, Liza P. Moorman, Oliver J. Monfredi, Matthew T. Clark, Jamieson M. Bourque
Publikováno v:
Learning Health Systems, Vol 7, Iss 1, Pp n/a-n/a (2023)
Abstract Introduction Artificial‐intelligence (AI)‐based predictive analytics provide new opportunities to leverage rich sources of continuous data to improve patient care through early warning of the risk of clinical deterioration and improved s
Externí odkaz:
https://doaj.org/article/c28e072fc4f24d4c8f3ce4ccec8ddaba
Autor:
Keim-Malpass J; School of Nursing University of Virginia Charlottesville Virginia USA.; Center for Advanced Medical Analytics University of Virginia Charlottesville Virginia USA., Moorman LP; Nihon Kohden Digital Health Solutions Irvine California USA., Monfredi OJ; Center for Advanced Medical Analytics University of Virginia Charlottesville Virginia USA.; Division of Cardiovascular Medicine, School of Medicine University of Virginia Charlottesville Virginia USA., Clark MT; Nihon Kohden Digital Health Solutions Irvine California USA., Bourque JM; Center for Advanced Medical Analytics University of Virginia Charlottesville Virginia USA.; Division of Cardiovascular Medicine, School of Medicine University of Virginia Charlottesville Virginia USA.
Publikováno v:
Learning health systems [Learn Health Syst] 2022 Jun 23; Vol. 7 (1), pp. e10323. Date of Electronic Publication: 2022 Jun 23 (Print Publication: 2023).
Autor:
Jessica Keim‐Malpass, Liza P. Moorman, Oliver J. Monfredi, Matthew T. Clark, Jamieson M. Bourque
Publikováno v:
Learning Health Systems. 7
Autor:
Senthil Krishnamurthy, Oludamilare Bode Adewuyi, Emmanuel Luwaca, Mukovhe Ratshitanga, Prathaban Moodley
Publikováno v:
Energy Conversion and Management: X, Vol 24, Iss , Pp 100772- (2024)
The regional energy demand for Southern Africa has been predicted to increase by ten to fourteen times between the years 2010 and 2070. Thus, to address the proliferation of energy demand, South Africa’s integrated resource plan, which includes usi
Externí odkaz:
https://doaj.org/article/b446e4022a454226835b1e3545884181