| 摘要 |
A method of predicting a clinical outcome for a patient with congestive heart failure is disclosed. A plurality of nonlinear first PCI models are identified based on a biomarker dataset, each of the models having a number of distinct terms. One or more second PCI models are identified based on the biomarker dataset, each of these models having a number of distinct terms which corresponds to the number of distinct terms for one or more of the nonlinear first PCI models. Each of the plurality of nonlinear first PCI models are statistically compared to one of the one or more second PCI models having a corresponding number of distinct terms to determine a preference for higher versus lower degree of nonlinearity or preference for shorter versus longer memory length. The clinical outcome is predicted based on the preference for higher versus lower degree of nonlinearity or memory length preference.
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