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Developing models to predict patient outcomes in children with severe illness

28 December 2020 | Story André Damons | Photo Supplied

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

Getting out of the dark

2015-04-28

Photo: Leonie Bolleurs

Since 2008, the University of the Free State has been busy with the planning and implementation of projects to reduce the impact of load shedding. To date, the cost of these projects has run to R6 million. They have been done primarily to ensure that the academic programme does not suffer damage as a result of the increasing interruptions in the power supply that are continuing this year.

The university’s greatest concern has been the provision of emergency power to the lecture halls and laboratories.

Thus far, 35 generators are servicing 55 buildings on the three campuses of the UFS. This includes 26 generators on the Bloemfontein Campus, eight on the Qwaqwa Campus in the Eastern Free State, and one generator on the South Campus in Bloemfontein. The generators are already in service, and are maintained in working order.

Since 2010, the university has also ensured that all newly-built academic buildings are equipped with emergency power supplies.

On the South Campus in Bloemfontein, the new lecture-hall building and the computer laboratory are equipped with emergency power, while the installation of emergency generators in other buildings is under way. The majority of the buildings on the Qwaqwa Campus in the Eastern Free State are equipped with emergency power supplies.

In the meantime, the UFS management has approved a further R11 million for the installation of additional generators on the three campuses. A further R1.5 million has also been approved for the purchase of two mobile generators.

To extend the work already done, the main task will be the installation of more generators on the Bloemfontein Campus to ensure that lecture halls with emergency power will be available for the centrally-arranged timetables, and to ensure that more of the critical laboratories will be provided with emergency power.

There are still some important buildings and halls on the Bloemfontein Campus that must be supplied with emergency power. However, it is a costly process and must be brought into operation gradually. The further implementation of emergency power depends on the delivery of equipment. The university is also investigating alternative solutions for power provisioning, including solar power.

Generators with spare capacity are optimally deployed to satisfy the lower needs of the campus, including the Odeion, the ANNEX at Microbiology, the Stabilis ANNEX, the Agriculture Building, the UV-Sasol library, and the Francois Retief Building.

In addition, the UFS is busy on all campuses, coupling area lighting, including

street lights and pedestrian walkways, to existing generators. Procedures for the operation of mechanical equipment, such as entrance gates, lifts, and so on, are currently being dealt with on all campuses. Continuous power sources for certain ICT equipment will be installed on all campuses to protect it against power surges.

Staff and students can also equip themselves with the necessary knowledge to manage load shedding in their specific areas of work and study. It is always helpful to know who to contact. The following list with guidelines and contact numbers has been compiled to assist you:

1. In an emergency, call Protection Services. This line will continue to operate, regardless of whether the power is on or off.
2. Avoid using lifts just before planned load shedding. Some lifts have emergency power packs which will bring the lift to the nearest floor and open the doors. If you still get stuck in a lift during a power outage, use your cellphone to call Protection Services. While you're waiting, stay calm and be patient.
3. If the access control systems in your building stop working after load shedding, contact Protection Services.
4. The students and staff members who are most at risk during load shedding are those in wheelchairs or with other mobility limitations. As far as possible, plan ahead to avoid being stuck on a floor or in a room that is difficult to access when load shedding is imminent. Please contact Protection Services if you need assistance.
5. During a fire, alarms WILL go off. Alarms are not power driven, but battery driven. For assistance, contact Protection Services.
6. The main UFS Switchboard (Bloemfontein Campus +27(0)51 401 9111 and Qwaqwa Campus +27(0)58 718 5000) will continue to operate during load shedding.

Contact details of Protection Services:

Bloemfontein Campus: +27(0)51 401 2634/2911
Qwaqwa Campus: +27(0)58 508 5460/5175
South Campus: +27(0)51 5051217

Communication and Brand Management will make information available on the UFS web, Facebook page, Twitter, Blackboard and the intranet. Get the load shedding schedule from Eskom’s webpage (http://loadshedding.eskom.co.za/). The Bloemfontein Campus falls in group 4 and the South Campus falls in group 2 in Centlec’s load shedding schedule.

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