Higher Degree by Research Application Portal
Title | Applying Machine Learning Algorithms to improve diagnosis of middle ear disorders in children |
---|---|
Supervisor | Dr Robyn Choi |
Dr Chris Gonzalez | |
A/Pro Wilhelmina Mulders | |
Course | Doctor of Philosophy |
Keywords | Middle Ear Disorders |
Computational Health Science | |
Machine Learning | |
Medical Physics | |
Paediatrics | |
Categories | Health |
Clinical Sciences | |
Computational Health Science | |
Machine Learning | |
Medical Physics | |
Research area | Information and Computing Sciences |
Health Sciences | |
Biomedical and Clinical Sciences | |
Project description | This project will build on a pilot study that is currently being undertaken at UWA. Middle ear disorders (MEDs) are highly prevalent in children under the age of 7 years old. However, the waiting time to receive audiological care is long in Australia, and current objective audiological methods are unable to differentiate between sub-types of MED accurately. This often leads to deterioration in children’s health and quality of life that adds significant economic burden and frustration to patients, their parents and/or caregivers, as well as the healthcare system. The candidate will be expected to investigate and develop novel research that aids in the diagnosis and detection of these disorders from a computational perspective, whether utilising statistical analysis, machine learning, or deep learning in a way that improves the accuracy, precision, and time-to-diagnosis. |
Opportunity status | Closed |
Open date | 29 May 2024 |
Close date | 26 Jul 2024 |
Funding source | Gordon McLaren Scholarship |
School | Graduate Research School |
Contact | Dr Robyn Choi (robyn.choi@uwa.edu.au) Dr Christopher Gonzalez (chris.gonzalez@uwa.edu.au) |
Specific project requirement | Ideally, the candidate should have a strong interest and passion for data or signal analysis and programming (any suitable language such as C/C++, Python, Matlab, R) in an applied setting. The candidate should also have an interest in audiology and related health fields. |
Course type | Doctorates |
Description | The Doctor of Philosophy (PhD) is a program of independent, supervised research that is assessed solely on the basis of a thesis, sometimes including a creative work component, that is examined externally. The work presented for a PhD must be a substantial and original contribution to scholarship, demonstrating mastery of the subject of interest as well as an advance in that field of knowledge. Visit the course webpage for full details of this course including admission requirements, course rules and the relevant CRICOS code/s. |
Duration | 4 years |