Meena Santhanagopalan
Supervisors: Associate Professor Madhu Chetty, Dr Cameron Foale and Professor Britt Klein
School of Science, Engineering and Information Technology
msanthanagopalan@federation.edu.au
Doctor of Philosophy
“Evaluating classfiers for effective assignment into ‘Digital-Health’ interventions”
The research work aims to discover new knowledge from real life biopsychosocial data, generated from ‘Digital-Health’ intervention programs. The focus of this research work is to compare machine-learning methods and investigate if non-linear classifiers can learn the undercurrent influence of biopsychosocial features, in order to design a method for effective assignment of participants into ‘Digital-Health’ intervention programs by using participants’ historical biopsychosocial data. The biopsychosocial data set comprises data from biological, psychological and social disciplines aligned to the biopsychosocial model of health. The significance and challenges in analysing different kinds of real life biopsychosocial data is presented. The broad research areas are:
- Compare effectiveness of ‘Digital-Health’ intervention program using biopsychosocial dataset and its subsets
- Challenges in mining, pre-processing and analysis of biometric sensor data from wearables
- Compare non-linear classifiers’ prediction accuracy and design a method for effective assignment of participants into ‘Digital-Health’ intervention programs using their historical biopsychosocial data.
- Development of prediction model to predict self-reported primary emotion based on results of biopsychosocial predicates.
Key benefits of this research include the ability to predict wellbeing based on biopsychosocial factors and discovery of new knowledge and patterns weaved from correlating features of the biopsychosocial data.
Meena Santhanagopalan is supported by an Australian Government Research Training Program (RTP) Stipend and RTP
Fee-Offset Scholarship through Federation University.