Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1436-5057
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach ; day:9 ; month:1 ; year:2020 ; pages:1-12
Computing ; (9.1.2020), 1-12
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00607-019-00785-6
- URN
-
urn:nbn:de:101:1-2020041501302121555138
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:44 MESZ
Datenpartner
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Beteiligte
- Fawagreh, Khaled
- Gaber, Mohamed Medhat
- SpringerLink (Online service)
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