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dc.contributor.authorDouglas, Craig C.
dc.contributor.authorDeng, Li
dc.contributor.authorHaase, Gundolf
dc.contributor.authorLee, Hyoseop
dc.contributor.authorLodder, Robert A.
dc.date.accessioned2021-10-06T06:26:43Z
dc.date.available2021-10-06T06:26:43Z
dc.date.issued2010
dc.identifier.citationDouglas, C. C., Deng, L., Haase, G., Lee, H., & Lodder, R. A. (2010). International conference on computational science, ICCS 2010 data-driven pill monitoring. Procedia Computer Science, 1(1), 1213–1220. doi:10.1016/j.procs.2010.04.135
dc.identifier.issn1877-0509
dc.identifier.doi10.1016/j.procs.2010.04.135
dc.identifier.urihttp://hdl.handle.net/10754/672167
dc.description.abstractWe describe a viable dynamic system to guarantee that pills delivered to a patient are what were prescribed, of sufficient quality to be effective, and within the correct time frame. A handheld device that identifies pills is also described that is suitable for use by health care providers. Issues of patient privacy, network security, and interacting with multiple databases are inherent to the entire process.
dc.description.sponsorshipThis research was supported in part by NSF grants CNS-0719626 and ACI-0324876 (and their successors) and Award No. KUS-C1-016-04, made by King Abdullah University of Science and Technology (KAUST).
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S1877050910001365
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in [JournalTitle]. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in [JournalTitle], [1, 1, (2010)] DOI: 10.1016/j.procs.2010.04.135 . © 2010. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectdynamic data-driven application systems
dc.subjectcyber-physical systems
dc.subjectintegrated sensing and processing
dc.subjectISP
dc.subjectaccoustic resonance spectroscopy
dc.titleInternational Conference on Computational Science, ICCS 2010 Data-Driven Pill Monitoring
dc.typeConference Paper
dc.identifier.wosutWOS:000281951600134
dc.eprint.versionPost-print
dc.contributor.institutionUniversity of Wyoming, Department of Mathematics, Laramie, WY 82071-3036, United States
dc.contributor.institutionKarl-Franzens-University Graz, Institute for Mathematics and Scientific Computing, A-8010 Graz, Austria
dc.contributor.institutionUniversity of Kentucky, Pharmaceutical Sciences Department, Lexington, KY 40506-0286, United States
dc.identifier.volume1
dc.identifier.issue1
dc.identifier.pages1207-1214
kaust.grant.numberKUS-C1-016-04
dc.identifier.eid2-s2.0-78650281902


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