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28 December 2020 | Story André Damons | Photo Supplied
Dr Michael Pienaar is a lecturer in the University of the Free State’s (UFS) department of Paediatrics and Child Health.

A lecturer from the University of the Free State’s (UFS) department of Paediatrics and Child Health is investigating the use of artificial neural networks to develop models for the prediction of patient outcomes in children with severe illness.

Dr Michael Pienaar, senior lecturer and specialist, is conducting this research as part of his doctoral research and the study deals primarily with the development of models that are designed and calibrated for use in South Africa. These artificial neural networks are computer programs designed to mimic some of the learning characteristics of biological neurons.

The potential applications of models

According to Dr Pienaar these models have traditionally been developed in high-income nations using conventional statistical methods.

“The potential applications of such models in the clinical setting include triage, medical research, guidance of resource allocation and quality control. Having initially begun this research investigating the prediction of mortality outcomes in the paediatric intensive care unit (PICU) I have broadened my scope to patients outside of PICU, seeking to identify children early during their illnesses who are at risk of serious illness requiring PICU,” says Dr Pienaar.

The research up until now has been directed towards the identification of characteristics that are both unique to children with serious illness in South Africa, but also accessible to clinicians in settings where expertise and technical resources are limited.

Research still in the early changes

The research is still in its early stages but next year a series of expert review panels will be held to investigate the selection of variables for the model, after which the collection of clinical data will begin. Once the data has been collected and prepared, a number of candidate models will be developed and evaluated. This should be concluded by the end of 2022.

Says Dr Pienaar: “The need to engage with the rapid proliferation of technology, particularly in the realms of machine learning, mobile technology, automation and the Internet of Things is as great in medical research now as it is in any academic discipline.

“It is critical that research, particularly in South Africa, engage with this in order to take advantage of the opportunities offered and avoid the dangers that go paired with them. Together with the technology as such, it has been essential to pursue this project as an interdisciplinary undertaking involving clinicians, biostatisticians and computer engineers.”

Hope for the research  

Dr Pienaar says he was very fortunate and grateful to be the recipient of a generous interdisciplinary grant from the UFS which has allowed him to procure software and equipment that is critical to this project.

“The hope for this research is that the best performing of these models can be integrated with a mobile application that assists practitioners in a wide range of settings in the identification, treatment and early referral of children at high risk of severe illness. I would like to expand this research project to include other countries in Africa and South America and to use it as a bridge to collaboration with other clinical researchers in the Global South,” says Dr Pienaar.

As an early career researcher, Dr Pienaar hopes that this research can serve as a platform to build a body of research that uses the rapid technological advances of these times together with a wide range of collaborations with other disciplines in the pursuit of better child health.

He concludes by saying that he has had excellent support thus far from his supervisors, Prof Stephen Brown (Faculty of Health Sciences, UFS), Dr Nicolaas Luwes (Faculty of Computer Science and Engineering, Central University of Technology) and Dr Elizabeth George (Medical Research Council Clinical Trials Unit, University College London). I have also been supported by the Robert Frater Institute in the Faculty of Health Sciences.

News Archive

A Rag procession to remember
2013-02-06

Photo: Albert van Biljon
05 February 2013


   YouTube Video

A Rag procession to remember and one of the best in years. This was the opinion of many spectators at the Kovsies’ annual Rag procession on Saturday 2 February 2013. Large numbers of people came to watch the procession moving through the streets of Bloemfontein as students showed off their floats.

A festive atmosphere prevailed along the route and some people came prepared with camping chairs and picnic baskets.

The proceedings began with a morning procession to the Twin City shopping centre in Heidedal and the Kenilworth shopping centre in Mangaung. About 10 000 food parcels were handed out in the two suburbs, while the UFS Cultural Office and KovsieFM entertained the residents.

Prof. Jonathan Jansen, Vice-Chancellor and Rector, as well as members of the senior leadership, went along on the journey to the two suburbs. Dozens of children and adults were at the Twin City shopping centre where hundreds of balloons were released. Kovsie staff, students and members of the SRC at the Bloemfontein Campus met with members of the community and helped to hand out food parcels.

The main procession left from the Bloemfontein Campus at 18:00 and proceeded to the Old Grey’s sports grounds for the Rag concert. Rag-goers were entertained by the music group Mi Casa, the singing duo and twin brothers Locnville, as well as Bobby van Jaarsveld. People were also treated to a fireworks display.

The float of the residences Karee, Soetdoring and Imperium was announced as the winning float.

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