Individual-specific networks for prediction modelling - A scoping review of methods.

ABSTRACT:

Background

Recent advances in biotechnology enable the acquisition of high-dimensional data on individuals, posing challenges for prediction models which traditionally use covariates such as clinical patient characteristics. Alternative forms of covariate representations for the features derived from these modern data modalities should be considered that can utilize their intrinsic interconnection. The connectivity information between these features can be represented as an individual-specific network defined by a set of nodes and edges, the strength of which can vary from individual to individual. Global or local graph-theoretical features describing the network may constitute potential prognostic biomarkers instead of or in addition to traditional covariates and may replace the o

SUBMITTER: Gregorich M 

PROVIDER: S-EPMC8898441 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature