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Showing 1 to 6 of 6 for “"predictive classification"”.

  1. A Study of the Minimum p-value and Related Methods for the Identification of Treatment-Sensitive Groups

    … variable or biomarker, which is referred as predictive classification in this thesis. The clinical variable or biomarker used for predictive classification is usually continuous and, therefore, a cutpoint needs to be determined for the definition of the subgroup. The commonly adopted methods, …

    queens Repository record for A Study of the Minimum p-value and Related Methods for the Identification of Treatment-Sensitive Groups (opens in a new tab)

  2. Feature selection and classification for high-dimensional biological data under cross-validation framework

    … in selecting important predictors and to build predictive classification models. Traditionally, cross-validation methods have been used in order to determine the tuning or threshold parameter for the feature selection. We propose improvements over the methods by adding repeated and nested cross …

    ku Repository record for Feature selection and classification for high-dimensional biological data under cross-validation framework (opens in a new tab)

  3. Comparison of Event History Analysis and Latent Growth Modeling for College Student Perseverance

    … the others in terms of predicting correct classification. Using event history analysis with the structural equation modeling framework, however, appeared to be a very promising alternative to event history analysis with logistic regression since one can model error term and examine the …

    vcu Repository record for Comparison of Event History Analysis and Latent Growth Modeling for College Student Perseverance (opens in a new tab)

  4. A Knowledge Based Approach of Toxicity Prediction for Drug Formulation. Modelling Drug Vehicle Relationships Using Soft Computing Techniques

    … to make original contributions to the field of predictive toxicology. The first part of this thesis provides a detailed scientific discussion on all aspects of drug formulation and toxicity. Discussions are focused around the principal mechanisms of drug toxicity and how drug toxicity is studied …

    bradford Repository record for A Knowledge Based Approach of Toxicity Prediction for Drug Formulation. Modelling Drug Vehicle Relationships Using Soft Computing Techniques (opens in a new tab)

  5. A Knowledge Based Approach of Toxicity Prediction for Drug Formulation. Modelling Drug Vehicle Relationships Using Soft Computing Techniques

    … to make original contributions to the field of predictive toxicology. The first part of this thesis provides a detailed scientific discussion on all aspects of drug formulation and toxicity. Discussions are focused around the principal mechanisms of drug toxicity and how drug toxicity is studied …

    bradford Repository record for A Knowledge Based Approach of Toxicity Prediction for Drug Formulation. Modelling Drug Vehicle Relationships Using Soft Computing Techniques (opens in a new tab)

  6. Towards systems pharmacology models of druggable targets and disease mechanisms

    … and costly attrition. Using text mining and text classification I present a growing landscape of systems pharmacology models in literature growing from humble roots because of step-wise increases in our understanding of biology. Furthermore, I develop a case for the capability of systems …

    cambridge Repository record for Towards systems pharmacology models of druggable targets and disease mechanisms (opens in a new tab)