Medicare fraud detection using extreme g radient boosted machines (XGBoost)

Researcher: Sheena Phillip, University of the Witwatersrand, JohannesburgSupervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, Johannesburg Fraud detection of health care providers is a growing concern worldwide as billions of dollars is lost each year. Medicare publicly released health provider data in order to encourage the development

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Measuring the South African Financial Cycle using Wavelet Analysis

Researcher: By Kabo Phage, University of the Witwatersrand, JohannesburgSupervisor: Prof. Gregory Farrell, University of the Witwatersrand, Johannesburg Financial cycles capture the evolution of risks to financial stability, and it follows that they are important for macro prudential policymakers.  The robust measurement thereof can aid in formulating and

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Random Forest Model for Stock Prediction Based on Fundamental Analysis

Researcher: Rinae Tshivhidzo, University of the Witwatersrand, JohannesburgSupervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, Johannesburg Researchers have devoted their focus to studying stock market prediction. However, predicting the stock trend is still an open question. With the development of the advanced period, the prediction of stock

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International arms exports: rhetoric vs reality

Researcher: Rosa Manoim, University of the Witwatersrand, JohannesburgSupervisor: Dr Michelle Small, University of the Witwatersrand, Johannesburg According to the South African government, “the advancement of human rights and the promotion of democracy are pillars on which South Africa’s foreign policy rests”. Yet as the statistical results here

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News Bias and Fairness in Emerging Markets

Researcher: Gift Mahlatse Mphahlele, University of the Witwatersrand, JohannesburgSupervisor: TBA This study aimed to investigate the nature of the relationship between the global news sentiment with the local news sentiment and exchange rates for two countries, South Africa and Nigeria.  The transformer architecture was used to do

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My Health Information, My Privacy

Researcher: Tshilisanani Mudau, University VendaSupervisor: Dr Michael Klipin and Prof. Hima Vadapalli, University of the Witwatersrand, Johannesburg Machine Learning models have become the modern way to protect patient health information. Which Machine Learning model can best perform this task? The Conditional Random Fields model easily recognized sensitive

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Detecting potential genes that contribute towards development of mental health disorder: Schizophrenia

Researcher: Mutobvu Ronewa, University of LimpopoSupervisor: TBA Mental health problems encompass our overall well-being.  These are the most formidable problems than any other health condition and remain widely under-reported.  This study focuses on performing differential gene expression secondary analysis on Schizophrenia.  Schizophrenia is a mental health disorder

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