Unknown

Dataset Information

Entropy Methods on Finding Optimal Linear Combinations with an Application to Biomarkers.


ABSTRACT: Identifying an optimal linear combination of continuous variables is a key objective in various fields of research, such as medicine. This manuscript explores the use of information-theoretical approaches used to establish these linear combinations. Coefficients obtained from logistic regression can be used to construct such a linear combination, and this approach has been commonly adopted in the literature for comparison purposes. The main contribution of this work is to propose novel ways of determining these linear combination coefficients by optimizing information-theoretical objective functions. Biomarkers are usually continuous measurements utilized to diagnose if a patient has the underlying disease. Certain disease contexts may lack high diagnostic power biomarkers, making their op

SUBMITTER: Iyisoy MS 

PROVIDER: S-EPMC12469204 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature