Machine learning approaches classify clinical malaria outcomes based on haematological parameters
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1741-7015
- Extent
-
Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
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
- Creator
-
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.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12916-020-01823-3
- URN
-
urn:nbn:de:101:1-2021010906012194546656
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- 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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