Development and validation of manually modified and supervised machine learning clinical assessment algorithms for malaria in Nigerian children
It is currently estimated that 67% of malaria deaths occur in children under-five years (WHO, 2020). To improve the identification of children at clinical risk for malaria, the WHO developed community (iCCM) and clinic-based (IMCI) protocols for frontline health workers using paper-based forms or di...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Frontiers Media
2022
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