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Combining Clinical Symptoms and Patient Features for Malaria Diagnosis: Machine Learning Approach
(Taylor & Francis online, 2022-01-30)
Presumptive treatment and self-medication for malaria have been used in limited-resource countries. However, these approaches have been considered unreliable due to the unnecessary use of malaria medication. This study ...
Poultry diseases diagnostics models using deep learning
(Frontiers in Artificial Intelligence, 2022-08-01)
Coccidiosis, Salmonella, and Newcastle are the common poultry diseases that
curtail poultry production if they are not detected early. In Tanzania, these
diseases are not detected early due to limited access to agricultural ...
Characterisation of Malaria Diagnosis Data in High and Low Endemic Areas of Tanzania
(East African Health Research Journal, 2022)
Background: Malaria remains a significant cause of morbidity and mortality, especially in the sub-Saharan African region. Malaria is considered preventable and treatable, but in recent years, it has increased outpatient ...