Results 241 to 250 of about 2,150,687 (292)
Improving earthquake prediction accuracy in Los Angeles with machine learning. [PDF]
Yavas CE, Chen L, Kadlec C, Ji Y.
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Improving prediction accuracy in agricultural markets through the CIMA-AttGRU model. [PDF]
Jiang Y, Liu J, Li X.
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Improved Prediction Accuracy for Late-Onset Preeclampsia Using cfRNA Profiles: A Comparative Study of Marker Selection Strategies. [PDF]
Nakano A, Uno K, Matsui Y.
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Accuracy of predicting epidemic outbreaks
Physical Review E, 2022During the outbreak of a virus, perhaps the greatest concern is the future evolution of the epidemic: How many people will be infected and which regions will be affected the most? The accurate prediction of an epidemic enables targeted disease countermeasures (e.g., allocating medical staff and quarantining).
Bastian Prasse +2 more
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Improving Predictive Accuracy in Elections
Big Data, 2017The problem of accurately predicting vote counts in elections is considered in this article. Typically, small-sample polls are used to estimate or predict election outcomes. In this study, a machine-learning hybrid approach is proposed. This approach utilizes multiple sets of static data sources, such as voter registration data, and dynamic data ...
David, Sathiaraj +2 more
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Test Accuracy and Predicting Outcome
Archives of Ophthalmology, 1986To the Editor. —In his recent editorial, Dr Guyton 1 emphasized the dangers of attending only to the accuracy of a test to assess visual function behind opacities. He indicated a strong concern with mechanisms responsible for overestimates of postoperative acuity (false-positives) and suggested recommendations for future investigations.
J V, Odom +3 more
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Accuracy of protein flexibility predictions
Proteins: Structure, Function, and Bioinformatics, 1994AbstractProtein structural flexibility is important for catalysis, binding, and allostery. Flexibility has been predicted from amino acid sequence with a sliding window averaging technique and applied primarily to epitope search. New prediction parameters were derived from 92 refined protein structures in an unbiased selection of the Protein Data Bank ...
M, Vihinen, E, Torkkila, P, Riikonen
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Accuracy of protein hydropathy predictions
International Journal of Data Mining and Bioinformatics, 2010Hydropathy is a dominant force in protein folding. Sequence-based hydropathy predictions are widely used, without knowledge about their accuracy and reliability. We investigated the prediction accuracy of 56 hydropathy scales by correlating predicted values with the accessible surface area in known protein structures.
Satu, Jääskeläinen +3 more
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