Data Science: Similarity Least Squares (SLSTM) + physics + Statistical Design of Experiment (DOE)
A New Paradigm for Analysis and Management of Complexity
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Data Science: Similarity Least Squares (SLSTM) + physics + Statistical Design of Experiment (DOE) A New Paradigm for Analysis and Management of Complexity
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In summary SLSTM created a robust diagnostic HCV
model where specificity error rates match those of sensitivity.
Accurate model predicting sustained response at week 4 of therapy with
pegylated interferon with ribavirin in patients with chronic hepatitis C
M. Martinot-Peignoux, L. Comanor, J. M. Minor, M. P. Ripault, B.-N. Pham, N. Boyer, C. Castelnau, N. Giuily, D. Hendricks, Patrick Marcellin Published article online: 16-Jun-2006 to appear in future volume http://www.blackwell-synergy.com/doi/abs/10.1111/j.1365-2893.2006.00750.x combinatorial impact of profile variables (super vectors) |
Copyright of James M Minor, July 4, 2004.
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