| Computerized Disease Profiling Using GPS-Linked Multi-Function Sensor Cartridges. | |
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MedLine Citation:
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PMID: 21667099 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Disease identification in public health monitoring routinely employs analyte detection systems capable of discriminating mixtures of analytes, toxins, cells and/or bacteria in medical and/or environmental solutions. The development of smart sensors capable of discriminating such compounds has become increasingly important for clinical, environmental, and health applications. While some sensors have been fashioned for single analyte detection, methods and systems that facilitate rapid screening of multiple clinical components are needed, serving as triggers for potential epidemics or more specific confirmatory testing. In public health applications, there is like need for immediate collection of geocoded data tagged by disease identification characteristics, with corresponding alerting capabilities. In this technology review we propose one promising model for using a combination of emerging systems-based technologies in multi sensor cartridges, integrated with GPS-enabled, alert-capable mobile phone devices. |
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Authors:
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Daniel Lorence; Joseph Wu |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-6-11 |
Journal Detail:
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Title: Journal of medical systems Volume: - ISSN: 0148-5598 ISO Abbreviation: - Publication Date: 2011 Jun |
Date Detail:
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Created Date: 2011-6-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7806056 Medline TA: J Med Syst Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Center for Technology Assessment, State College, PA, USA, danlor467@yahoo.com. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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