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01000naa a22002652 4500 |
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NLM104963212 |
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DE-627 |
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20231222133638.0 |
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tu |
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231222s1999 xx ||||| 00| ||eng c |
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|a pubmed24n0350.xml
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Marenco, L
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Neuronal database integration
|b the Senselab EAV data model
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| 264 |
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|c 1999
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 01.02.2000
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| 500 |
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|a Date Revised 13.11.2018
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| 500 |
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|a published: Print
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| 500 |
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|a Citation Status MEDLINE
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| 520 |
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|a We discuss an approach towards integrating heterogeneous nervous system data using an augmented Entity-Attribute-Value (EAV) schema design. This approach, widely used in implementing electronic patient record systems (EPRSs), allows the physical schema of the database to be relatively immune to changes in domain knowledge. This is because new kinds of facts are added as data (or as metadata) rather than hard-coded as the names of newly created tables or columns. Because the domain knowledge is stored as metadata, a framework developed in one scientific domain can be ported to another with only modest revision. We describe our progress in creating a code framework that handles browsing and hyperlinking of the different kinds of data
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| 650 |
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|a Journal Article
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| 650 |
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|a Research Support, U.S. Gov't, P.H.S.
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| 700 |
1 |
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|a Nadkarni, P
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Skoufos, E
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Shepherd, G
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Miller, P
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Proceedings. AMIA Symposium
|d 1998
|g (1999) vom: 23., Seite 102-6
|w (DE-627)NLM098642928
|x 1531-605X
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|a AR
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| 952 |
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|j 1999
|b 23
|h 102-6
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