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Information extraction from clinical trials

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thesis
posted on 28.03.2022, 14:10 by Dennis Jasch
Evidence-based medicine (EBM) stipulates that decisions regarding the effectiveness of potential interventions should be based on objective evidence such as randomized clinical trials and systematic reviews. However, research output rate is accelerating faster than it is feasible to manually synthesize into summaries, clinical practice guidelines and other decision aids. The most likely solution lies in the computerized summarization of this research. In this thesis we perform an extensive systematic literature review regarding methods of extracting information targets from clinical trials. Based on this review, we select a method to be analysed and the experiment to be re-produced and critically appraised. Upon successful recreation of the experiment, we annotate a new corpus consented upon by two annotators. We run the experiment on the new corpus and compare the extraction results. Finally, we present two methods to possibly advance the difficult task of extracting key information elements from clinical trials.

History

Table of Contents

1. Introduction -- 2. Literature review -- 3. Selecting systems for analysis and experiment replication -- 4. Creation of a new testing corpus -- 5. Methods for further development.

Notes

Bibliography: pages 65-67 Theoretical thesis.

Awarding Institution

Macquarie University

Degree Type

Thesis MRes

Degree

MRes, Macquarie University, Faculty of Medicine and Health Sciences, Australian Institute of Health Innovation

Department, Centre or School

Australian Institute of Health Innovation

Year of Award

2015

Principal Supervisor

Guy Tsafnat

Rights

Copyright Dennis Jasch 2015. Copyright disclaimer: http://www.copyright.mq.edu.au

Language

English

Extent

1 online resource (67 pages) diagrams, graphs, tables

Former Identifiers

mq:44752 http://hdl.handle.net/1959.14/1071871