Predicting stroke severity of patients using interpretable machine learning algorithms
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Predicting stroke severity of patients using interpretable machine learning algorithms ; volume:29 ; number:1 ; day:14 ; month:11 ; year:2024 ; pages:1-23 ; date:12.2024
European journal of medical research ; 29, Heft 1 (14.11.2024), 1-23, 12.2024
- Urheber
-
Sorayaie Azar, Amir
Samimi, Tahereh
Tavassoli, Ghanbar
Naemi, Amin
Rahimi, Bahlol
Hadianfard, Zahra
Wiil, Uffe Kock
Nazarbaghi, Surena
Bagherzadeh Mohasefi, Jamshid
Lotfnezhad Afshar, Hadi
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s40001-024-02147-1
- URN
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urn:nbn:de:101:1-2502040922165.024688905634
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
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Beteiligte
- Sorayaie Azar, Amir
- Samimi, Tahereh
- Tavassoli, Ghanbar
- Naemi, Amin
- Rahimi, Bahlol
- Hadianfard, Zahra
- Wiil, Uffe Kock
- Nazarbaghi, Surena
- Bagherzadeh Mohasefi, Jamshid
- Lotfnezhad Afshar, Hadi
- SpringerLink (Online service)
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