Methods for a similarity measure for clinical attributes based on survival data analysis.

ABSTRACT: BACKGROUND:Case-based reasoning is a proven method that relies on learned cases from the past for decision support of a new case. The accuracy of such a system depends on the applied similarity measure, which quantifies the similarity between two cases. This work proposes a collection of methods for similarity measures especially for comparison of clinical cases based on survival data, as they are available for example from clinical trials. METHODS:Our approach is intended to be used in scenarios, where it is of interest to use longitudinal data, such as survival data, for a case-based reasoning approach. This might be especially important, where uncertainty about the ideal therapy decision exists. The collection of methods consists of definitions of the local similarity of nominal as well

SUBMITTER: Karmen C 

PROVIDER: S-EPMC6805472 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature