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    Feature Selection Approach to Improve Malaria Prediction Model’s Performance for High- and Low-Endemic Areas of Tanzania 

    Mariki, Martina; Mduma, Neema; Mkoba, Elizabeth (Springer Link, 2024-06)
    Malaria remains a significant cause of death, especially in sub-Saharan Africa, with about 228 million malaria cases worldwide. Parasitological tests, like microscopic and rapid diagnostic tests (RDT), are the recommended ...
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    A Machine Learning Model for detecting Covid-19 Misinformation in Swahili Language 

    Mlawa, Filbert; Mkoba, Elizabeth; Mduma, Neema (Engineering, Technology & Applied Science Research, 2023-06-02)
    The recorded cases of corona virus (COVID-19) pandemic disease are millions and its mortality rate was maximized during the period from April 2020 to January 2022. Misinformation arose regarding this threat, which spread ...
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    Combining Clinical Symptoms and Patient Features for Malaria Diagnosis: Machine Learning Approach 

    Mariki, Martina; Mkoba, Elizabeth; Mduma, Neema (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 ...
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    Characterisation of Malaria Diagnosis Data in High and Low Endemic Areas of Tanzania 

    Mariki, Martina; Mduma, Neema; Mkoba, Elizabeth (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 ...

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    Author
    Mduma, Neema (4)
    Mkoba, Elizabeth (4)
    Mariki, Martina (3)Mlawa, Filbert (1)SubjectCOVID-19 pandemic (1)machine learning (1)misinformation (1)SOCIAL SCIENCES (1)Swahili language (1)TECHNOLOGY (1)Twitter (1)... View MoreDate Issued2022 (2)2023 (1)2024 (1)Has File(s)
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