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Learning from Swedish Healthcare Data
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2016 (English)In: Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, Association for Computing Machinery (ACM), 2016, article id 47Conference paper, Published paper (Refereed)
Abstract [en]

We present two ongoing projects aimed at learning from health care records. The first project, DADEL, is focusing on high-performance data mining for detrecting adverse drug events in healthcare, and uses electronic patient records covering seven years of patient record data from the Stockholm region in Sweden. The second project is focusing on heart failure and on understanding the differences in treatment between various groups of patients. It uses a Swedish administrative health register containing health care data for over two million patients.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2016. article id 47
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-136592DOI: 10.1145/2910674.2935859ISBN: 978-1-4503-4337-4 (electronic)OAI: oai:DiVA.org:su-136592DiVA, id: diva2:1055457
Conference
9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Island, Greece, June 29 - July 01, 2016
Available from: 2016-12-12 Created: 2016-12-12 Last updated: 2018-01-13Bibliographically approved

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Asker, LarsPapapetrou, PanagiotisBoström, Henrik
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Output format
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