Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future
Abstract Machine and deep learning techniques are prevalent in the medical discipline due
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …
Combining clinical symptoms and patient features for malaria diagnosis: machine learning approach
Presumptive treatment and self-medication for malaria have been used in limited-resource
countries. However, these approaches have been considered unreliable due to the …
countries. However, these approaches have been considered unreliable due to the …
Predicting Malaria Infection using Haematological Indices: A Case Study at Bremang SDA Hospital in the Suame Municipality of the Ashanti Region, Ghana
G Akatse-Tsesu - 2022 - 41.204.63.118
Background: Malaria continues to wreak havoc in Africa, which accounted for about 96% of
global cases in 2020. Malaria deaths increased by 12% compared with 2019, to an …
global cases in 2020. Malaria deaths increased by 12% compared with 2019, to an …