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Predicting risk of diabetes complications and costs using machine learning with equity analysis

A postgraduate research opportunity at the University of Otago.

Details

Academic background
Sciences, Health Sciences, Humanities
Host campus
Wellington
Qualification
Master’s
Department
Public Health (Wellington)
Supervisors
Dr Nhung Nghiem, Professor Nick Wilson, a computer scientist (TBC)

Overview

Artificial intelligence (AI) and machine learning pose enormous potential for improving quality of life but also significant social, cultural and other risks. It is therefore crucial to ensure that machine learning models do not create or exacerbate inequities in healthcare, due to biased data and unfair algorithms. In Aotearoa New Zealand, diabetes and cardiovascular diseases are the leading causes of premature death and disease burden and major sources of health inequities for Māori, Pacific, and Asian populations due to socio-economic, cultural and health system factors.

We are looking for a Master of Public Health student to join our project Predicting risk of diabetes complications and costs using machine learning with equity analysis funded by the Royal Society Te Apārangi. The research topic is using Aotearoa’s rich social and health datasets to build equity into the machine learning models, and predict cardiovascular disease risk and healthcare costs among people with diabetes. The project will partially cover master’s stipend and tuition fees.

Student applicants will need to have a strong academic record and high motivation. If you are interested in this topic, please send a copy of your CV, academic transcripts and cover letter to Dr Nhung Nghiem (nhung.nghiem@otago.ac.nz).

Contact

Dr Nhung Nghiem
Email   nhung.nghiem@otago.ac.nz

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