Search Results - "Wisconsin"
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Evaluating the performance of machine learning techniques in the classification of Wisconsin Breast Cancer
Published 2018“…Furthermore, the dataset of Wisconsin Breast Cancer (Diagnostic) has been used in this study. …”
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Measurement of nicotine withdrawal symptoms: linguistic validation of the Wisconsin Smoking Withdrawal Scale (WSWS) in Malay
Published 2010“…Background: The purpose of the linguistic validation of the Wisconsin Smoking Withdrawal Scale (WSWS) was to produce a translated version in Malay language which was "conceptually equivalent" to the original U.S. …”
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A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach
Published 2013“…. © 2013 by the Board of Regents of the University of Wisconsin System.…”
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Optimisation of support vector machine hyperparameters using enhanced artificial bee colony variant to diagnose breast cancer
Published 2023“…Both optimisers and classifiers employed the Wisconsin and Mammography dataset. The Wisconsin dataset has 31 features and 569 patients for Mammography dataset with five features and 962 patients. …”
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Breaking bad habits by improving executive function in individuals with obesity
Published 2018“…In particular, it appears that cognitive flexibil ity, as measured by the Wisconsin Card Sort task, is a key mechanism in this process. …”
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Classification of breast cancer disease using bagging fuzzy-id3 algorithm based on fuzzydbd
Published 2022“…Four breast cancer datasets were used to evaluate the classification accuracy: Wisconsin Breast Cancer (Original) dataset, WDBC (Diagnostic) dataset, Breast Cancer Coimbra dataset, and Mammographic Mass dataset. …”
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The death of Tun Abdul Razak: how Malaysians in madison learned the news.
Published 1976“…A total of 75 per cent of Malaysian students at the University of Wisconsin, Madison, heard about the death of the Prime Minister, Y.A.B. …”
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How SD-OCT is changing our view of DME
Published 2010“…In diabetic macular edema, vascular endothelial damage is a major event that results in the breakdown of the inner blood-retinal barrier and accumulation of fluid and serum macromolecules in the intracellular space.1 The Wisconsin Epidemiologic Study of Diabetic Retinopathy reported that 32% of patients developed macular edema within 22 to 24 years of diabetes diagnosis.2…”
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Learning and fatigue effects revisited: Investigating the effects of accounting for unobservable preference and scale heterogeneity
Published 2014“…. © 2014 by the Board of Regents of the University of Wisconsin System.…”
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