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Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.

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Title: Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.
Authors: Ehrentraut, Claudia1, ehrentraut.claudia@gmail.com, Ekholm, Markus2, Tanushi, Hideyuki1, Tiedemann, Jörg3, Dalianis, Hercules1
Source: Health Informatics Journal; Mar2018, Vol. 24 Issue 1, p24-42, 19p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 127789269
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=127789269
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        Value: 10.1177/1460458216656471
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        Text: English
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        PageCount: 19
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      – TitleFull: Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.
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            NameFull: Ekholm, Markus
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            NameFull: Tanushi, Hideyuki
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              Text: Mar2018
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