Machine learning approaches classify clinical malaria outcomes based on haematological parameters
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1741-7015
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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Machine learning approaches classify clinical malaria outcomes based on haematological parameters ; volume:18 ; number:1 ; day:30 ; month:11 ; year:2020 ; pages:1-16 ; date:12.2020
BMC medicine ; 18, Heft 1 (30.11.2020), 1-16, 12.2020
- Urheber
-
Morang’a, Collins M.
Amenga–Etego, Lucas
Bah, Saikou Y.
Appiah, Vincent
Amuzu, Dominic S. Y.
Amoako, Nicholas
Abugri, James
Oduro, Abraham R.
Cunnington, Aubrey J.
Awandare, Gordon A.
Otto, Thomas D.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
-
10.1186/s12916-020-01823-3
- URN
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urn:nbn:de:101:1-2021010906012194546656
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
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Beteiligte
- Morang’a, Collins M.
- Amenga–Etego, Lucas
- Bah, Saikou Y.
- Appiah, Vincent
- Amuzu, Dominic S. Y.
- Amoako, Nicholas
- Abugri, James
- Oduro, Abraham R.
- Cunnington, Aubrey J.
- Awandare, Gordon A.
- Otto, Thomas D.
- SpringerLink (Online service)
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