Machine learning for
systematic reviews

Winner

 

2019 Curtin Innovation Awards (Teaching & Learning)

2019 Australian Physiotherapy Association Conference Pitchfest (People's Choice Award)

2018 inaugural EduGrowth LaunchPad Business Start EdTech business plan competition. 

Technology that Saves You Time

More than 65,000 research students in Australian Universities have the task of finding research papers relevant to their project. Individuals spending hundreds of hours often reading irrelevant articles. 

 

Our solution to this problem is a Web application that applies machine learning techniques to semi-automate research article screening. Users will upload and abstracts of research articles from existing library databases to the Web app then manually screen a small portion of these articles. The Research Screener will actively learn which articles are relevant, screening between 2000 to 100,000 articles in minutes rather than researchers spending months and identifies those articles that are deemed relevant or irrelevant.  

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We are aiming to launch in the latter half of 2019.

Get in Touch

Dr. Leo Ng | leo.ng@curtin.edu.au

Dr. Kevin Chai | k.chai@curtin.edu.au

Peter Edwards | peter.w.edwards@graduate.curtin.edu.au