Medical Data Science -- Extracting Health-related Knowledge from Big Data

Vortrag im Kolloquium Informatik von Prof. Marcin Grzegorzek

Mittwoch, 17.01.2017, 16:15 Uhr, Raum D239

 

Referent: Prof. Dr. Marcin Grzegorzek (University of Siegen)

Gastgeber: Prof. Dr. Steffen Staab

 

Titel: Medical Data Science -- Extracting Health-related Knowledge from Big Data

 

Abstract:

On the one hand, the demographic change and the shortage of medical staff (especially in rural areas) critically challenge healthcare systems in industrialised countries. On the other hand, the digitalisation of our society progresses with a tremendous speed, so that more and more health-related data are available in a digital form. For instance, people wear intelligent glasses or/and smart watches, provide digital data with standardised medical devices (e.g., blood pressure and blood sugar meters following the standard ISO/IEEE 11073) or/and deliver personal behavioural data by their smartphones. Pattern recognition algorithms that automatically analyse and interpret that huge amount of heterogeneous data towards prevention (early risk detection), diagnosis, assistance in therapy/aftercare/rehabilitation as well as nursing will experience an extremely high scientific, societal and economic priority in the near future.

In this talk, apart from a general overview and introduction to the topic, Marcin Grzegorzek will present his scientific vision addressing the research direction motivated above. It includes the development of original pattern recognition algorithms for holistic health assessment. In his research, Marcin considers mainly the steps of prevention/early risk detection as well as therapy assistance in the context of neurodegenerative diseases. After a general introduction of his scientific vision, Marcin will shortly present two of the related projects he currently leads: (1) Cognitive Village: Adaptively Learning, Technical Support System for Elderly (funded by the German Federal Ministry of Education and Research); (2) My-AHA: My Active and Healthy Ageing (EC Horizon 2020). Apart from the development of adaptive machine learning software, aspects of hardware, user acceptance as well as ELSI (Ethical, Legal and Social Implications) are also considered in these projects. Marcin will close his talk by a summary and some insights into possible future scientific directions in the area of medical data science.

 

 

Bio:

Marcin Grzegorzek is Head of the Research Group for Pattern Recognition at the University of Siegen, Professor at the University of Economics in Katowice and Chairman of the Board at Data Understanding Lab Ltd. He studied Computer Science at the Silesian University of Technology, did his PhD at the University of Erlangen-Nuremberg, worked scientifically as Postdoc at the Queen Mary University of London as well as at the University of Koblenz-Landau, and did his habilitation at the AGH University of Science and Technology in Kraków. He published around 100 papers in pattern recognition, image processing, machine learning, and multimedia analysis. For the time being, he runs six externally funded research projects. For instance, Marcin coordinates the project Cognitive Village aiming at developing a user-friendly support system for elderly that applies machine learning algorithms for sensor-based health assessment.

Wann 17.01.2018
von 16:15 bis 18:00
Wo D239
Name Prof. Dr. Steffen Staab
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