Stockholm university
Department of Computer and Systems Sciences

Infrastructure

The Department of Computer and Systems Sciences has several infrastructures for research. Among other things, we have databases, tools and lab environments.

This page is under construction.

 

Distributed Immersive Participation Lab

The Distributed Immersive Participation Lab is dedicated to advancing research, education, and industry collaboration in IoT, edge computing, distributed data processing, tiny machine learning, inclusive design, distributed edge intelligence and immersive participation. It is located to the Department of Computer and Systems Sciences (DSV), Campus Kista. The lab welcomes students, researchers, and industry professionals who would like to experiment, collaborate, and develop groundbreaking solutions that drive technological progress.

Contact professor Rahim Rahmani

More about the Distributed Immersive Participation Lab

 

Swedish Health Record Research Bank

Swedish Health Record Research Bank (or “Health Bank” for short) is a unique research infrastructure containing large sets of electronic patient records. For example, the Stockholm EPR (Electronic Patient Record) Corpus. The corpus contains data from over 512 clinical units – more than two million patients – at Karolinska University Hospital.

Stockholm EPR Corpus stems from the TakeCare electronic patient records system that is used at the Karolinska University Hospital. All patient records are deidentified. This big data corpus contains both structured information and unstructured information. The structured information contains a serial number for each patient, age, gender, ICD-10 diagnosis codes, drugs but also lab and blood values as well as admission and discharge time and date. The unstructured data contains text written under different headings. The whole corpus contains over 3 227 million tokens.

Health Bank is used and has been used in a number of research projects carried out by the Natural Language Processing Research Group. The research is approved by the Regional Ethical Review Board in Stockholm (Regionala Etikprövningsnämnden i Stockholm) and the Swedish Ethical Review Authority (Etikprövningsmyndigheten) under various research plans.
Natural Language Processing Research Group

We have developed a number of clinical text mining tools based on the Stockholm EPR Corpus.
Clinical text mining tools

Contact: Hercules Dalianis, Professor, Director Health Bank

For reference to the Health Bank, please use: Dalianis, H., A. Henriksson, M. Kvist, S. Velupillai and R. Weegar. 2015. HEALTH BANK – A Workbench for Data Science Applications in Healthcare (pdf). Proceedings of the CAiSE-2015 Industry Track co-located with 27th Conference on Advanced Information Systems Engineering (CAiSE 2015), J. Krogstie, G. Juell-Skielse and V. Kabilan, (Eds.), Stockholm, Sweden, June 11, 2015, CEUR, Vol-1381, pp 1-18, urn:nbn:de:0074-1381-0.

Last updated: November 6, 2025

Source: Department of Computer and Systems Sciences, DSV

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