Research project EXTREMUM
The goal of this cross-disciplinary collaboration is to design and implement a novel data management and analytics framework for medical data sources. The focus is on explainable machine learning methods as well as on legal and ethical aspects of the predictive models.
Photo: Digital Futures.
The EXTREMUM (Explainable and Ethical Machine Learning for Knowledge Discovery from Medical Data Sources) project can in simple terms be described as a machine learning initiative whereby useful knowledge is extracted from databases comprising medical data. The knowledge that is sought relates to the adverse effect of certain prescription drugs in order that adverse effects can be predicted and prevented. The same applies to the detection and predictive treatment of patients in relation to cardiovascular diseases. The ultimate goal of the project is to develop a prototype system that can be used to achieve the above insights from health data.
Project managers
Panagiotis PapapetrouDigital Futures is an interdisciplinary research centre that explores and develops digital technologies of major societal importance. They regularly call for funding to support research projects that further their vision. The EXTREMUM research project is funded by Digital Futures and is planned to run for four years with a total budget of SEK 8.4 million.