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Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records
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.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2017 (English)In: Pervasive Technologies Related to Assistive Environments, ACM Press , 2017Conference paper (Refereed)
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ACM Press , 2017.
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Computer Sciences
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Computer and Systems Sciences
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URN: urn:nbn:se:su:diva-149270DOI: 10.1145/3056540.3076177ISBN: 978-1-4503-5227-7 OAI: oai:DiVA.org:su-149270DiVA: diva2:1159986
Available from: 2017-11-24 Created: 2017-11-24

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