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Research Thesis Topic

Big Data Analytics For Personalised Healthcare


Topic ID
160

Thesis Topic/Title
Big Data Analytics For Personalised Healthcare

Description

To succeed in transforming healthcare, many countries are moving toward targeted, personalised healthcare. As a part of healthcare transformation, medical risk assessment aims to prioritise patients on the basis of their medical status and treatments in order to optimise the deployment of medical resources; targeted monitoring aims to provide personalised monitoring medical services to individual patients. To achieve these tasks, evaluation of massive data in various types is essential in order to access individual patients' medical status and personal demands. However, the current accessibility to patients’ individual medical status and demands is still limited in IT-based healthcare systems. This study aims to breakthrough the problem by exploiting a medical domain ontology to model patients’ behaviour in order to provide decision support to medical doctors and health carers.


Principal Supervisor

Associate Supervisors

Research Affiliations
  • School of Agricultural, Computational and Environmental Sciences

Field of Research
  • Artificial Intelligence and Image Processing
  • Information Systems
  • Public Health and Health Services


Application Open Date
02/06/2016

Application Close Date
31/12/2020

USQ Scholarship Applications

Pre-approved for Ethics
No

Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic




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