Nguyen, H. D. , Eiring, Ø. and Poo, D. C. C. (2018) Designing “living” evidence networks for health optimisation: knowledge extraction of patient-relevant outcomes in mental disorders. In: Chatterjee, S., Dutta, K. and Sundarraj, R. P. (eds.) Designing for a Digital and Globalized World: 13th International Conference, DESRIST 2018, Chennai, India, June 3–6, 2018, Proceedings. Series: Lecture notes in computer science (10844). Springer: Cham, pp. 101-115. ISBN 9783319917993 (doi: 10.1007/978-3-319-91800-6_7)
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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.
| Item Type: | Book Sections |
|---|---|
| Status: | Published |
| Glasgow Author(s) Enlighten ID: | Nguyen, Dr Hoang D. |
| Authors: | Nguyen, H. D., Eiring, Ø., and Poo, D. C. C. |
| College/School: | College of Science and Engineering > School of Computing Science |
| Publisher: | Springer |
| ISBN: | 9783319917993 |
| Published Online: | 19 May 2018 |
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