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首页> 外文期刊>Consumer Electronics Magazine, IEEE >Crowdsourcing Biological Specimen Identification: Consumer technology applied to health-care access
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Crowdsourcing Biological Specimen Identification: Consumer technology applied to health-care access

机译：众包生物标本鉴定：将消费者技术应用于医疗保健

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摘要

Existing technology may provide a solution to the intractable problem of the unmet demand in rural areas for the identification of biological specimens. The acquisition and transmission of biological specimens, revealed through low-cost microscopy, to a server would be viewed and analyzed by autonomous members of a crowdsource community, where, subject to a system of quality control, populations that do not have access to medical diagnostic facilities might have the full advantages of medical analyses. In our proposed system, a smartphone is equipped with a low-cost microscope interface. This enables health-care workers to obtain digital images of biological specimens, bacteria, or tissue cultures that are then transmitted to a cloud server. These image data can be made available, via crowd-sourcing, for experts to provide a consensus on the imaged specimen. The opinions of crowdsourced experts can be based in part on their scientific peer ranking and professional qualifications and in part on their history of contributions and peer ranking within the crowdsourcing community. Different opinions as to the nature of the specimen provided can be weighed by the crowdsourcing software engine that then presents the conclusions to the originating health-care worker.
机译：现有技术可能为解决农村地区生物样品鉴定需求未得到满足的棘手问题提供解决方案。通过低成本显微镜显示的生物标本的采集和传输到服务器，将由众包社区的自治成员查看和分析，该群体在质量控制体系的约束下，无法获得医学诊断的人群设施可能具有医学分析的全部优势。在我们提出的系统中，智能手机配备了低成本的显微镜接口。这使医护人员可以获得生物学标本，细菌或组织培养物的数字图像，然后将其传输到云服务器。这些图像数据可以通过众包提供给专家，以使他们对成像样本达成共识。众包专家的观点可以部分基于他们的科学同行排名和专业资格，也可以部分基于他们在众包社区中的贡献历史和同行排名。可以通过众包软件引擎权衡对所提供标本的性质的不同意见，然后将结论提供给原始医护人员。

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