Topics

 Research and Development on better self-management options and empowering the management of the patients for their own chronic disease condition, using mobile health (mHealth) technologies.

Develop a machine learning approach for anomaly detection using similarity measures in complex chronic disease patient data to improve quality issues related to manual data entry.

Research and development of natural language processing (NLP) systems for automated data extraction, evaluation and analysis from the Electronic Medical Records (EMR) or Patient Management Systems.

We are looking into developing a platform where we can have a range of individual variables (demographic, clinical, family etc.) for each patient and this information that can be used for predictive modelling for different diseases and their progression within individual patient.