Patient-level performance evaluation of a smartphone-based malaria diagnostic application

Patient-level performance evaluation of a smartphone-based malaria diagnostic application

Abstract Background Microscopic examination is commonly used for malaria diagnosis in the field. However, the lack of well-trained microscopists in malaria-endemic areas impacted the most by the disease is a severe problem. Besides, the examination process is time-consuming and prone to human error....

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Bibliographic Details
Main Authors: Hang Yu, Fayad O. Mohammed, Muzamil Abdel Hamid, Feng Yang, Yasmin M. Kassim, Abdelrahim O. Mohamed, Richard J. Maude, Xavier C. Ding, Ewurama D.A. Owusu, Seda Yerlikaya, Sabine Dittrich, Stefan Jaeger
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Malaria Journal
Subjects:
Malaria microscopy
Computer-aided diagnosis
Automated screening
Machine learning
Field testing
Smartphone application
Online Access:https://doi.org/10.1186/s12936-023-04446-0

Internet

https://doi.org/10.1186/s12936-023-04446-0

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