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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

1School of Public Health and Management, Chongqing Medical University; Research Center for Medicine and Social Development; Innovation Center for Social Risk Governance in Health, Chongqing, China 2Department of prevention and health care, The Chonggang General Hospital, Chongqing, China 3Department of Physical Examination, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China #These authors contributed equally to this work. Received date: 20 Oct 2017; Accepted date: 07 Nov 2017; Published date: 13 Nov 2017.

Study of Disease Networks Based on Association Rule Mining from Physical Examination Database