Results 131 to 140 of about 54,284 (153)
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Information Discovery and Delivery
Purpose Criteria importance through intercriteria correlation (CRITIC) is a multicriteria decision-making method that helps compute the weights of decision criteria by considering the contrast intensity and conflicting relationships inherent in each criterion.
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Purpose Criteria importance through intercriteria correlation (CRITIC) is a multicriteria decision-making method that helps compute the weights of decision criteria by considering the contrast intensity and conflicting relationships inherent in each criterion.
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Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2023
Kostiantyn Kucher, Andreas Kerren
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Kostiantyn Kucher, Andreas Kerren
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
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Reference extraction and coauthorship visualization of semi-structured bibliographic data [PDF]
Annales Universitatis Scientiarum Budapestiensis de Rolando Eotvoes Nominatae. Sec. Computatorica, 2007 Radovanović, Miloš, Ivanović, Mirjana
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Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
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Some thoughts on health surveillance data, race, and population categorization
Ca-A Cancer Journal for Clinicians, 2016Otis W Brawley
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Clinical highlights from the National Cancer Data Base, 2000
Ca-A Cancer Journal for Clinicians, 2000exaly
Clinical highlights from the National Cancer Data Base, 1999
Ca-A Cancer Journal for Clinicians, 1999exaly
Clinical highlights from the National Cancer Data Base: 1994
Ca-A Cancer Journal for Clinicians, 1994exaly