Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis

Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis

Abstract Background Epidemiological surveys of malaria currently rely on microscopy, polymerase chain reaction assays (PCR) or rapid diagnostic test kits for Plasmodium infections (RDTs). This study investigated whether mid-infrared (MIR) spectroscopy coupled with supervised machine learning could c...

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Bibliographic Details
Main Authors: Emmanuel P. Mwanga, Elihaika G. Minja, Emmanuel Mrimi, Mario González Jiménez, Johnson K. Swai, Said Abbasi, Halfan S. Ngowo, Doreen J. Siria, Salum Mapua, Caleb Stica, Marta F. Maia, Ally Olotu, Maggy T. Sikulu-Lord, Francesco Baldini, Heather M. Ferguson, Klaas Wynne, Prashanth Selvaraj, Simon A. Babayan, Fredros O. Okumu
Format: Article
Language:English
Published: BMC 2019-10-01
Series:Malaria Journal
Subjects:
Malaria diagnosis
Plasmodium
Ifakara Health Institute
Mid-infrared spectroscopy
Dried blood spots
Supervised machine learning
Online Access:http://link.springer.com/article/10.1186/s12936-019-2982-9

Internet

http://link.springer.com/article/10.1186/s12936-019-2982-9

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