With logic regression, an optimal Boolean combination of these rules was searched for every target variable, using a random subset of a large ...
Apr 13, 2017 · With logic regression, an optimal Boolean combination of these rules was searched for every target variable, using a random subset of a large ...
algorithm a factor analysis was performed. Two methods were used, classification and logistic regression, four different weights for the negatives, 5*10-4 ...
algorithm a factor analysis was performed. Two methods were used, classification and logistic regression, four different weights for the negatives, 5*10-4 ...
Automatic identification of variables in epidemiological datasets using logic regression. BMC Medical Informatics and Decision Making. 17: 40. Source Title.
Missing: logistic | Show results with:logistic
For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names.
Missing: logistic | Show results with:logistic
Dive into the research topics of 'Automatic identification of variables in epidemiological datasets using logic regression'. Together they form a unique ...
Missing: logistic | Show results with:logistic
The objective of this study was to determine the reproducibility of logistic regression models developed using automated variable selection methods.
Abstract. Objectives: Automated variable selection methods are frequently used to determine the independent predictors of an outcome. The.
In addition to these applications, logistic regression potentially allows us to identify which variables are important for determining whether two cases are in ...
Missing: Automatic | Show results with:Automatic