Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data ; volume:13 ; number:1 ; day:3 ; month:6 ; year:2023 ; pages:1-11 ; date:12.2023
Scientific reports ; 13, Heft 1 (3.6.2023), 1-11, 12.2023
- Creator
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Giorgi, Salvatore
Yaden, David B.
Eichstaedt, Johannes C.
Ungar, Lyle H.
Schwartz, H. Andrew
Kwarteng, Amy
Curtis, Brenda
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-34468-2
- URN
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urn:nbn:de:101:1-2023091421102405271260
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:54 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Giorgi, Salvatore
- Yaden, David B.
- Eichstaedt, Johannes C.
- Ungar, Lyle H.
- Schwartz, H. Andrew
- Kwarteng, Amy
- Curtis, Brenda
- SpringerLink (Online service)
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