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14 December 2022 | Story André Damons | Photo André Damons
Dr Michael Pienaar, Senior Lecturer and specialist in the UFS Department of Paediatrics and Child Health being presented to the acting Chancellor by his supervisor Prof Stephen Brown.

A lecturer from the University of the Free State (UFS) says the need to improve the care of seriously ill children is a vital part of reducing preventable deaths and diseases, and this led him to investigate the use of artificial neural networks to develop models for the prediction of patient outcomes in children with severe illness. The study was done for his PhD thesis. 

This forms the basis for the PhD thesis of Dr Michael Pienaar, Senior Lecturer and specialist in the UFS Department of Paediatrics and Child Health, called, The Development and Validation of Predictive Models for Paediatric Critical Illness in Children in Central South Africa using Artificial Neural Networks. His thesis reports the development and testing of several machine learning models designed to help healthcare workers identify seriously ill children early in a range of resource-limited settings. Combining a systematic literature search and Delphi technique with clinical data from 1 032 participants, this research led to significant progress towards implementable models for community health workers in clinical practice.

Care for critically ill children is a mission and calling 

Dr Pienaar graduated with a PhD specialising in Paediatrics on Monday (12 December) during the Faculty of Health Sciences’ December graduation ceremony. It took him three years to complete this degree. His supervisor was Prof Stephen Brown, Principal Specialist and Head of the Division of Paediatric Cardiology in the Department of Paediatrics and Child Health in the Faculty of Health Sciences at the UFS. Prof Nicolaas Luwes and Dr EC George were his co-supervisors. 

“I have been working in paediatric critical care since 2019 and see the care of critically ill children as my mission and calling in life. At the outset of the project, I was interested in approaches to complex phenomena and wanted to investigate new methods for tackling these in healthcare. 

“I have been interested in technology since childhood and in collaborating with other disciplines since I joined the university in 2019. Machine learning seemed like a great fit that could incorporate these interests and yield meaningful clinical results,” explains Dr Pienaar the reason why he chose this topic for his thesis.

He hopes that, in time, this work will lead to the implementation of integrated machine learning models to improve care and clinical outcomes for children in South Africa. From a scholarship perspective, he continues, his hope is that this work draws interest to this field in clinical research and encourages a move towards incorporating these new methods, as well as skills in areas such as coding and design in the armamentarium of a new generation of clinicians.

Medicine chooses you

According to Dr Pienaar, he always had broad interests, of which medicine is one. “I am very grateful to have found my way in medicine and am humbled and privileged to be allowed to walk with children and their families on a difficult and important journey. I believe this profession will choose you and put you where you are needed if you give it time and are prepared to listen.”

He describes graduating as a complicated ending to this period of his life and the beginning of a next chapter. He was humbled by the graduation ceremony. 

“It was wonderful to graduate with undergraduates and postgraduates in my profession – I felt great pride and solidarity joining these new colleagues and specialists in taking the oath. I am certainly relieved, proud, excited, and happy. I am also very grateful to the university, my promotors, colleagues, friends, and family for supporting me through this process. I must confess, it is also slightly bittersweet, I loved working on this and do miss it, but look forward to the next exciting project. 

“I would like to thank my Head of Department, Dr (Nomakhuwa) Tabane, my supervisors, my family and friends once again. I would also like to acknowledge and thank the National Research Foundation (NRF) as well as the University of the Free State for their assistance with funding this research.”

News Archive

NRF researcher addresses racial debates in classrooms
2017-03-24

Description: Dr Marthinus Conradie Tags: Dr Marthinus Conradie

Dr Marthinus Conradie, senior lecturer in the
Department of English, is one of 31 newly-rated National
Research Foundation researchers at the University of
the Free State.
Photo: Rulanzen Martin

Exploring numerous norms and assumptions that impede the investigation of racism and racial inequalities in university classrooms, was central to the scope of the research conducted by Dr Marthinus Conradie, a newly Y-rated National Research Foundation (NRF) researcher.

Support from various colleagues
He is one of 31 newly-rated researchers at the University of the Free State (UFS) and joins the 150 plus researchers at the university who have been rated by the NRF. Dr Conradie specialises in sociolinguistics and cultural studies in the UFS Department of English. “Most of the publications that earned the NRF rating are aimed to contributing a critical race theoretic angle to longstanding debates about how questions surrounding race and racism are raised in classroom contexts,” he said.

Dr Conradie says he is grateful for the support from his colleagues in the Department of English, as well as other members of the Faculty of the Humanities. “Although the NRF rating is assigned to a single person, it is undoubtedly the result of support from a wide range of colleagues, including co-authors Dr Susan Brokensha, Prof Angelique van Niekerk, and Dr Mariza Brooks, as well as our Head of Department, Prof Helene Strauss,” he said.

Should debate be free of emotion?
His ongoing research has not been assigned a title yet, as he and his co-author does not assign titles prior to drafting the final manuscript. “Most, but not all, of the publications included in my application to the NRF draw from discourse analysis of a Foucauldian branch, including discursive psychology,” Dr Conradie says. His research aims to suggest directions and methods for exploring issues about race, racism, and racial equality relating to classroom debates. One thread of this body of work deals with the assumption that classroom debates must exclude emotions. Squandering opportunities to investigate the nature and sources of the emotions provoked by critical literature, might obstruct the discussion of personal histories and experiences of discrimination. “Equally, the demand that educators should control conversations to avoid discomfort might prevent in-depth treatment of broader, structural inequalities that go beyond individual prejudice,” Dr Conradie said. A second stream of research speaks to media representations and cultural capital in advertising discourse. A key example examines the way art from European and American origins are used to imbue commercial brands with connotations of excellence and exclusivity, while references to Africa serve to invoke colonial images of unspoiled landscapes.

A hope to inspire further research
Dr Conradie is hopeful that fellow academics will refine and/or alter the methods he employed, and that they will expand, reinterpret, and challenge his findings with increasing relevance to contemporary concerns, such as the drive towards decolonisation. “When I initially launched the research project (with significant aid from highly accomplished co-authors), the catalogue of existing scholarly works lacked investigations along the particular avenues I aimed to address.”

Dr Conradie said that his future research projects will be shaped by the scholarly and wider social influences he looks to as signposts and from which he hopes to gain guidelines about specific issues in the South African society to which he can make a fruitful contribution.

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