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01000naa a22002652 4500 |
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NLM109954041 |
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DE-627 |
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20231222152438.0 |
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tu |
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231222s2000 xx ||||| 00| ||eng c |
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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 Barrows Jr, R C
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Limited parsing of notational text visit notes
|b ad-hoc vs. NLP approaches
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| 264 |
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|c 2000
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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 08.03.2001
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| 500 |
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a This paper describes the extraction of structured data relevant to glaucoma diagnosis and progression from visit notes typed as "notational text" by ophthalmologists during patient encounters. We compared two text processing systems: a limited pattern matching system called GDP (Glaucoma Dedicated Parser) and MedLEE, a proven natural language processing system which is in routine use encoding findings from chest radiograph and mammogram reports at the New York-Presbyterian hospital's Columbia-Presbyterian Center. We also evaluated the use of GDP as a preprocessor program to transform notational text into constructions recognizable by MedLEE. These systems have been evaluated according to their recall and precision in the particular task of processing a corpus of "notational text" documents to extract information related to glaucoma disease
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| 650 |
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|a Evaluation Study
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Busuioc, M
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Friedman, C
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Proceedings. AMIA Symposium
|d 1998
|g (2000) vom: 01., Seite 51-5
|w (DE-627)NLM098642928
|x 1531-605X
|7 nnns
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| 773 |
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|g year:2000
|g day:01
|g pages:51-5
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| 952 |
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|j 2000
|b 01
|h 51-5
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