| The physiology analysis system: an integrated approach for warehousing, management and analysis of time-series physiology data. | |
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MedLine Citation:
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PMID: 17287043 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The physiology analysis system (PAS) was developed as a resource to support the efficient warehousing, management, and analysis of physiology data, particularly, continuous time-series data that may be extensive, of variable quality, and distributed across many files. The PAS incorporates time-series data collected by many types of data-acquisition devices, and it is designed to free users from data management burdens. This Web-based system allows both discrete (attribute) and time-series (ordered) data to be manipulated, visualized, and analyzed via a client's Web browser. All processes occur on a server, so that the client does not have to download data or any application programs, and the PAS is independent of the client's computer operating system. The PAS contains a library of functions, written in different computer languages that the client can add to and use to perform specific data operations. Functions from the library are sequentially inserted into a function chain-based logical structure to construct sophisticated data operators from simple function building blocks, affording ad hoc query and analysis of time-series data. These features support advanced mining of physiology data. |
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Authors:
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Thomas M McKenna; Gagandeep Bawa; Kamal Kumar; Jaques Reifman |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. Date: 2007-02-06 |
Journal Detail:
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Title: Computer methods and programs in biomedicine Volume: 86 ISSN: 0169-2607 ISO Abbreviation: Comput Methods Programs Biomed Publication Date: 2007 Apr |
Date Detail:
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Created Date: 2007-03-12 Completed Date: 2007-05-29 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8506513 Medline TA: Comput Methods Programs Biomed Country: Ireland |
Other Details:
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Languages: eng Pagination: 62-72 Citation Subset: IM |
Affiliation:
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Bioinformatics Cell, Telemedicine and Advanced Technology Research Center, US Army Medical Research and Materiel Command, Fort Detrick, MD 21702, United States. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Data Display Information Management / organization & administration* Internet Medical Informatics Physiology / statistics & numerical data* United States |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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