Designing “Living” Evidence Networks for Health Optimisation: Knowledge Extraction of Patient-Relevant Outcomes in Mental Disorders View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Hoang D. Nguyen , Øystein Eiring , Danny Chiang Choon Poo

ABSTRACT

Over 70 randomised controlled trials (RCTs) are published in MEDLINE every day; in which the volume and velocity of unstructured evidence data have become a great challenge to human manual processing capabilities. There is an emerging need for a dynamic, evolving design of “living” evidence networks as the best source of health optimisation in evidence-based medicine. This study, therefore, investigated the text and layout features of unstructured full-texts in the biomedical literature to design IT artefacts for building high-quality and up-to-date evidence networks of RCTs. As a result, network meta-analyses can be automated for comparative adverse effects of treatments in chronic disorders such as Major Depressive Disorder and Bipolar Disorder. The study outcomes extended the technological boundary of health optimisation technologies, and contributed to the cumulative development of patient-relevant health care and shared decision-making. More... »

PAGES

101-115

Book

TITLE

Designing for a Digital and Globalized World

ISBN

978-3-319-91799-3
978-3-319-91800-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-91800-6_7

DOI

http://dx.doi.org/10.1007/978-3-319-91800-6_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104043309


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