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Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting

Our objective was to establish and test a machine learning-based screening process that would be applicable to systematic reviews in pharmaceutical sciences. We used the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) model, a broad search strategy, and a machine learning tool (Research Screener) to identify relevant references related to y-site compatibility of 95 intravenous drugs used in neonatal intensive care settings.

Dr Kingsley Wong

Research Officer

Thom Nevill

Research officer

Martyn Symons

Postdoctoral Researcher

Tasmin Symons

Honorary Research Associate

Best practice in diabetes care

Last month, our Centre's co-Director Liz Davis, attended the National Association of Diabetes Centre's (NADC) Symposium in Sydney.

Diabetes Camp changes for 2016-2017

You may have heard we're moving to our new home at Perth Children's Hospital later this year, sadly this means we've had to cancel our camps.

Healthy Pregnancy Weight Explained

Information from the Healthy Pregnancy & Me brochure for health professionals on what the definition of a healthy pregnancy weight is.

Breastfeeding in the first hour of life protects against neonatal mortality

Breastfeeding within the first hour of life has been shown to reduce high neonatal mortality by 22%.

Gender difference in the relationship between passive smoking exposure and HDL-cholesterol levels in late adolescence

This study has shown a gender difference in the relationship between passive smoking exposure since birth and HDL-C in late adolescence.