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Automatic Platelets Counter for Supporting Dengue Case Detection in Primary Health Care in Indonesia
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
2013 (English)In: Medinfo 2013: proceedings of the 14th World Conference on Medical and Health Informatics, Pts 1 and 2 / [ed] Lehmann, CU Ammenwerth, E Nohr, C, IOS Press, 2013, p. 585-588Conference paper, Published paper (Refereed)
Abstract [en]

Dengue fever is a major problem in many developing countries, including Indonesia. Laboratory examination is used to diagnose dengue infection and to monitor disease progression. Hematology tests, such as platelet count, are also used for timely recognition of the development of severe dengue. In primary health care centers platelet counting is typically performed manually, which is labor intensive and requires an experienced laboratory technician. To address this challenge, we have developed an automatic platelet counter for primary health care and resource-poor settings. The technology is based on a conventional microscope equipped with a digital camera linked to a personal computer, which can capture and analyze microscope images of blood samples. To evaluate the accuracy of the technology, it was compared to platelet counts performed manual by an experienced laboratory technician. Statistical analysis shows no difference between the techniques with a kappa coefficient of 0.6. This method is judged to have great potential as a tool to help primary health centers and other facilities with limited resources to deal with the burden of dengue.

Place, publisher, year, edition, pages
IOS Press, 2013. p. 585-588
Series
Studies in Health Technology and Informatics, ISSN 0926-9630 ; 192
Keywords [en]
Dengue, Platelet Count, Computer-Assisted Image Analysis
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:umu:diva-142773DOI: 10.3233/978-1-61499-289-9-585ISI: 000341021700120PubMedID: 23920623ISBN: 978-1-61499-289-9 (electronic)ISBN: 978-1-61499-288-2 (print)OAI: oai:DiVA.org:umu-142773DiVA, id: diva2:1167208
Conference
14th World Congress on Medical and Health Informatics (MEDINFO), AUG 20-23, 2013, Copenhagen, DENMARK
Available from: 2017-12-18 Created: 2017-12-18 Last updated: 2018-06-09Bibliographically approved

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Lazuardi, LutfanCandradewi, IkaHolmner, Åsa
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CiteExportLink to record
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Citation style
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