1st International Course on
Integrated Biomarkers

Biochemical and Bioimaging Endpoints in Cardiocerebrovascular Diagnosis,
Prevention, Therapy and Drug Development


Biomarkers 2005

To facilitate the dialogue among the multidisciplinary scientists, definition of the acronyms and of more specialized terms have been reported. Every amendment is welcome.

Andrea P. Peracino
Stefano Bellosta
Nicola Ferri
Riccardo Roggeri

Decision Trees Regression is a powerful statistical analysis program that generates classification and Regression Trees and Support Vector Machine models that can be used to predict values. The process of extracting useful information from a set of data values is called Data Mining. Many techniques have been developed for data mining, and there is an art to selecting and applying the best method for a particular situation. DTREG implements the most powerful predictive modeling methods that have been developed. Methods are including TreeBoost and Decision Tree Forests as well as Support Vector Machine and Logistic Regression models. Benchmarks have shown these methods to be highly effective for analyzing and modeling many types of data.

A multivariable prediction model in which the log of the odds of a time-fixed outcome event is related to a linear equation.


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