Higher Degree by Research Application Portal

TitleApplying Machine Learning Algorithms to improve diagnosis of middle ear disorders in children
SupervisorDr Robyn Choi
Dr Chris Gonzalez
A/Pro Wilhelmina Mulders
CourseDoctor of Philosophy
KeywordsMiddle Ear Disorders
Computational Health Science
Machine Learning
Medical Physics
Paediatrics
CategoriesHealth
Clinical Sciences
Computational Health Science
Machine Learning
Medical Physics
Research areaInformation 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 statusOpen
Open date29 May 2024
Close date26 Jul 2024
Funding source

Gordon McLaren Scholarship

SchoolGraduate 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 typeDoctorates
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.

Duration4 years

Guidance