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Learning from Swedish Healthcare Data
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2016 (engelsk)Inngår i: Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, Association for Computing Machinery (ACM), 2016, 47Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM), 2016. 47
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-136592DOI: 10.1145/2910674.2935859ISBN: 978-1-4503-4337-4 (digital)OAI: oai:DiVA.org:su-136592DiVA: diva2:1055457
Konferanse
9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Island, Greece, June 29 - July 01, 2016
Tilgjengelig fra: 2016-12-12 Laget: 2016-12-12 Sist oppdatert: 2017-01-26bibliografisk kontrollert

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