psychological distress, quality of life, and social support. The primary outcome will be CRP adherence, defined as attendance at least 70% of the standard eight-session programme; secondary outcomes will include risk-factor control, readmission, major adverse cardiovascular events and mortality. Multivariable regression modelling (logistic regression, Cox proportional hazards, and Fine-Gray competing-risks models) will form the primary analytic approach, complemented by machine learning (XGBoost and Random Survival Forest with SHAP-based feature attribution) to identify non-linear modifiable barriers and clinically meaningful risk profiles. The work will support targeted, family-inclusive and potentially hybrid or home-based rehabilitation pathways for Malaysia's multi-ethnic population.
For enquiries, please contact Dr Syafiq Asnawi.
For more information about this project, please visit our GEMS website.
How to Apply
When you apply for admission into your preferred degree program you will be able to select your scholarship type. No separate application is required.
By clicking on a course, you will be directed to further information, including details on 'How to Apply'.
However, before applying for a GEMS, it is recommended that you first contact the main supervisor for this GEMS research topic. Please provide details of your academic background and achievements to the supervisor so that they can assess your suitability for the GEMS research topic you are interested in.
Main Supervisor (Malaysia): Dr Syafiq Asnawi
Associate Supervisors (Malaysia): Dr Nur Alia Johari, Dr Muhamad Noor Alfarizal, Dr Mogana Darshini Ganggayah, Dr Hamimatunnisa Johar
Associate Supervisor (Australia): Professor Emmanuel Stamatakis, Dr Nicholas Koemel, Assoc Prof. Dr Matthew Ahmadi
Funding Notes
Applicants must possess a minimum academic qualification of First Class Honours (H1) or its equivalence (H1E) recognised by Monash Malaysia.
Scholarships are awarded on a competitive basis.
