PhD Global Excellence and Mobility Scholarship (GEMS 2027)- Culturally Adaptive AI for Cardiac Rehabilitation After CABG

About the project

About the Project This project will develop culturally responsive prediction models for cardiac rehabilitation programme (CRP) adherence and longer-term outcomes among adults undergoing coronary artery bypass grafting (CABG) at Institut Jantung Negara. Using an ambispective cohort (target n=1950), the candidate will combine electronic medical record data with surgical and laboratory variables, CRP attendance, functional capacity, and validated Malaysian measures of medication adherence, health literacy, 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 Hamimatunnisa Johar 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 Hamimatunnisa Johar Associate Supervisors (Malaysia): Dr Nur Alia Johari , Dr Muhamad Noor Alfarizal , Dr Mogana Darshini Ganggayah , Dr Syafiq Asnawi Associate Supervisor (Australia): Professor Emmanuel Stamatakis . Dr Nicholas Koemel , Assoc Prof. Dr Matthew Ahmadi

Research areas