Prediction of malaria positivity using patients’ demographic and environmental features and clinical symptoms to complement parasitological confirmation before treatment

Prediction of malaria positivity using patients’ demographic and environmental features and clinical symptoms to complement parasitological confirmation before treatment

Abstract Background Current malaria diagnosis methods that rely on microscopy and Histidine Rich Protein-2 (HRP2)-based rapid diagnostic tests (RDT) have drawbacks that necessitate the development of improved and complementary malaria diagnostic methods to overcome some or all these limitations. Con...

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Bibliographic Details
Main Authors: Taiwo Adetola Ojurongbe, Habeeb Abiodun Afolabi, Kehinde Adekunle Bashiru, Waidi Folorunso Sule, Sunday Babatunde Akinde, Olusola Ojurongbe, Nurudeen A. Adegoke
Format: Article
Language:English
Published: BMC 2023-12-01
Series:Tropical Diseases, Travel Medicine and Vaccines
Subjects:
Environmental features
Malaria
Machine learning
Prediction
Social-demographical behaviour
Symptoms
Online Access:https://doi.org/10.1186/s40794-023-00208-7

Internet

https://doi.org/10.1186/s40794-023-00208-7

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