Machine learning approaches classify clinical malaria outcomes based on haematological parameters

BACKGROUND: Malaria is still a major global health burden, with more than 3.2 billion people in 91 countries remaining at risk of the disease. Accurately distinguishing malaria from other diseases, especially uncomplicated malaria (UM) from non-malarial infections (nMI), remains a challenge. Further...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Izdano u:BMC Med
Glavni autori: 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.
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2020
Teme:
Research Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7702702/
https://ncbi.nlm.nih.gov/pubmed/33250058
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12916-020-01823-3
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!

Similar Items