Application of advanced privacy enhancing methodologies to support research and development of clinical tools using patient data

Project Member(s): Zhu, T.

Funding or Partner Organisation: Australian Mathematical Sciences Institute (Australian Mathematical Sciences Institute Partnership)
Australian Mathematical Sciences Institute (Australian Mathematical Sciences Institute Partnership)
Datarwe Pty Ltd
Datarwe Pty Ltd

Start year: 2021

Summary: This is an internship project, in which the student will work on developing a data structure for federated learning across multiple data sets for applied clinical predictive tools. Three key areas of clinical focus will be data sets relating to septic shock prediction, intubation and extubation risk and prediction of ICU readmission and post-discharge mortality.

FOR Codes: Data and information privacy, Health and Support Services not elsewhere classified, Evaluation of health and support services not elsewhere classified, Provision of health and support services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.