Ontology highlight
ABSTRACT:
SUBMITTER: Servadio JL
PROVIDER: S-EPMC5804584 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
Science advances 20180202 2
Development of composite indicators for integrated health in populations typically relies on a priori assumptions rather than model-free, data-driven evidence. Traditional variable selection processes tend not to consider relatedness and redundancy among variables, instead considering only individual correlations. In addition, a unified method for assessing integrated health statuses of populations is lacking, making systematic comparison among populations impossible. We propose the use of maxim ...[more]