Medical dictionaries for patient encoding systems: a methodology

Lovis, Christian; Baud, Robert H.; Rassinoux, Anne-Marie; Michel, Pierre-André; Scherrer, Jean-Raoul

doi:10.1016/s0933-3657(98)00023-2

Cited by 29 publications

(12 citation statements)

References 9 publications

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“…A number of researchers have attempted to improve the technology for performing various activities that form important parts of NLP work. These activities may be categorized as follows: Lexical and morphological analysis, noun phrase generation, word segmentation, and so forth (Bangalore & Joshi, 1999; Barker & Cornacchia, 2000; Chen & Chang, 1998; Dogru & Slagle, 1999; Kazakov, Manandhar, & Erjavec, 1999; Lovis, Baud, Rassinoux, Michel, & Scherter, 1998; Tolle & Chen, 2000; Zweigenbaum & Grabar, 1999). Semantic and discourse analysis, word meaning, and knowledge representation (Kehler, 1997; Meyer & Dale, 1999; Mihalcea & Moldovan, 1999; Pedersen & Bruce, 1998; Poesio & Vieira, 1998; Tsuda & Nakamura, 1999).…”

Section: Nlp Tools and Techniquesmentioning

confidence: 99%

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Natural language processing

Chowdhury

2003

Annual Review Info Sci & Tec

680

242

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Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language interfaces; (iii) NLP in the context of www and digital libraries ; and (iv) evaluation of NLP systems

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Section: Nlp Tools and Techniquesmentioning

confidence: 99%

“…Lexical and morphological analysis, noun phrase generation, word segmentation, and so forth (Bangalore & Joshi, 1999; Barker & Cornacchia, 2000; Chen & Chang, 1998; Dogru & Slagle, 1999; Kazakov, Manandhar, & Erjavec, 1999; Lovis, Baud, Rassinoux, Michel, & Scherter, 1998; Tolle & Chen, 2000; Zweigenbaum & Grabar, 1999).…”

Section: Nlp Tools and Techniquesmentioning

confidence: 99%

Natural language processing

Chowdhury

2003

Annual Review Info Sci & Tec

680

242

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“…Beyond the Specialist Lexicon, a medical lexicon has been started for German; for the French language, some lexical resources do exist, but they are incomplete and scattered in multiple teams, 2,3 hence the objectives of the present project.…”

Section: Development Of a Medical Lexiconmentioning

confidence: 99%

“…To collect the target lexical and morphological knowledge, the project will use both methods which already embody linguistic knowledge 2,4 and discovery processes 3 to complement existing lexical resources.…”

Section: Lexical Acquisition Experimentsmentioning

confidence: 99%

UMLF: a unified medical lexicon for French

Zweigenbaum

Baud

Burgun

et al. 2005

International Journal of Medical Informatics

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“…This area includes methods such as morphological segmentation and semantic representation [8], a general-purpose language processor coupled with rulebased reasoning [9,10], and textual similarity retrieval of archived reports with assigned codes [11].…”

Section: Coding Systemsmentioning

confidence: 99%

The connection between terms used in medical records and coding system: a study on Swedish primary health care data

Petersson¹,

Nilsson²,

Strender³

et al. 2001

Med. Informatics Internet in Medicine

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Implementation of problem lists and their relation to standardized coding systems have been approached and analysed in different ways. Most evaluations concern quantitative aspects such as content coverage in a specific domain. In order to reveal the qualitative aspects of diagnostic coding, medical record texts from primary health care encounters were compared with terms from a coding system that was used for describing them statistically. The records were coded by six general practitioners, and in some cases, an applied diagnostic term was found within the text, while other record text-coding system relationships were categorized as synonyms, alternative terms, and interpretations. Thus, the categories roughly corresponded to a measure of semantic distance between the terms in the record text and the rubrics of the coding system, and there was a correlation between semantic distance and inter-rater agreement. The subcategories of this scheme corresponded fairly well to recently published desiderata for clinical terminology servers, including functionality such as word normalization and spelling correction. However, not all problems could have been automatically coded by means of lexical methods, which can be partly explained by the fact that diagnostic coding also relies on clinical knowledge. In addition, proper automation relies on context representation within the records.

show abstract

Medical dictionaries for patient encoding systems: a methodology

Cited by 29 publications

References 9 publications

Natural language processing

Natural language processing

UMLF: a unified medical lexicon for French

The connection between terms used in medical records and coding system: a study on Swedish primary health care data

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