Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study
2016 (English)In: IEEE 29th International Symposiumon Computer-Based Medical Systems: CBMS 2016, IEEE Computer Society, 2016Conference paper (Refereed)
An administrative health register containing health care data for over 2 million patients will be used to search for factors that can affect the treatment of heart failure. In the study, we will measure the effects of employed treatment for various groups of heart failure patients, using different measures of effectiveness. Significant deviations in effectiveness of treatments of the various patient groups will be reported and factors that may help explaining the effect of treatment will be analyzed. Identification of the most important factors that may help explain the observed deviations between the different groups will be derived through generation of predictive models, for which variable importance can be calculated. The findings may affect recommended treatments as well as high-lighting deviations from national guidelines.
Place, publisher, year, edition, pages
IEEE Computer Society, 2016.
Proceedings of the ... IEEE International Symposium on Computer-Based Medical Systems, ISSN 2372-9198
Drugs, Guidelines, Heart, Hospitals, Medical diagnostic imaging, Registers, Heart failure, registry study
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-135426DOI: 10.1109/CBMS.2016.50ISBN: 978-1-4673-9036-1OAI: oai:DiVA.org:su-135426DiVA: diva2:1045210
IEEE 29th International Symposium on Computer-Based Medical Systems, Dublin, Ireland, 20 June 2016; Belfast, Ireland, 21–23 June 2016