English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The goals of the Triple Aim of health care and the goals of P4 medicineoutline objectives that require a significant health informatics component.However, the goals do not provide specifications about how all of the newindividual patient data will be combined in meaningful ways and with data fromother sources, like epidemiological data, to promote the health of individualsand society. We seem to have more data than ever before but few resources andmeans to use it efficiently. We need a general, extensible solution thatintegrates and homogenizes data of disparate origin, incompatible formats, andmultiple spatial and temporal scales. To address this problem, we introduce theScientific Knowledge Extraction from Data (SKED) architecture, as atechnology-agnostic framework to minimize the overhead of data integration,permit reuse of analytical pipelines, and guarantee reproducible quantitativeresults. The SKED architecture consists of a Resource Allocation Service tolocate resources, and the definition of data primitives to simplify andharmonize data. SKED allows automated knowledge discovery and provides aplatform for the realization of the major goals of modern health care.

A Vision for Health Informatics: Introducing the SKED Framework.An Extensible Architecture for Scientific Knowledge Extraction from Data