Themes in our Group
AIH focuses on developing knowledge representation and machine learning platforms to support knowledge discovery from healthcare data. AHI is also involved in the development of multi-agent platforms to support healthcare delivery and e-health infrastructures.
This interdisciplinary theme aims to improve health care by transforming the way we learn from and utilize healthcare data created at all levels of the patient journey (including clinical records, linked data sets). The goal is to better understand the etiology and epidemiology of disease and provide better business intelligence tools, such as alerting systems which directly improve care of patients.
More recently, we have developed a programme of mHealth related feasibility studies around interventions using real-time monitoring of data collected from smartphones and wearable devices as well as remote monitoring platform (RADAR-CNS) will be extended to other disease areas.
The groups work has required the extensive use of computational approaches such machine learning methods and the creation of software tools as well as the construction and administration of high performance computing infrastructure which has been uniquely developed behind the NHS firewall.
Our goal for Software Development is to foster good practices and ensure the maintainability of critical tools developed by the group.