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Results for “Terminology as Topic”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

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At least 739 records · Page 41Linked to original sources
PubMed2002

[Disability and rehabilitation problems in Russian Federation].

The authors considered theoretic topics, including terminology aspects, of disablement and rehabilitation. The results are up-to-date approaches and measures helping to solve disablement problem that remains among priorities in the state social policies.

Adolescent↗
PubMed2003

[The journal Nuklearmedizin: does the subtitle Journal of Functional and Molecular Imaging describe the current practice of publishing?].

AIM AND METHOD: The scientific publications in the 2001 and 2002 issues of the journal Nuklearmedizin. Journal of Functional and Molecular Imaging were analyzed retrospectively with regard to molecular imaging/therapy content criteria. RESULTS: Out of a total of 82 original papers and case reports 83% were based on molecular or functional methods, 91% of them using commercially available tracers, 57% were categorized as molecular imaging, 11% as molecular therapy, 12% as functional imaging and 2% as functional therapy. 3% of the studies were categorized as experimental research. Researchers from medical specialties other than nuclear medicine were co-authors in 71% of the articles, they were rooted in basic medical sciences in 16%. Of the 65 original papers 51% were predominantly dedicated to methodological development; 49% of them were prospective studies. CONCLUSION: The subtitle Journal of Functional and Molecular Imaging describes the current practice of publishing in Nuklearmedizin. The number of authors from other specialties shows that multidisciplinary integration within the field of molecular imaging is performed. Nevertheless, more integration of basic medical sciences is needed. Nuklearmedizin contributes to the insight of molecular imaging and to its clinical application in humans.

Language↗
PubMed2004

[Turkish as a scientific language].

In this article, Turkish is evaluated as a science language and the efforts of TUBA (Turkish Academy of Sciences) on the subject are mentioned.

Humans↗
PubMed2002

Shallow linguistic analysis of a large corpus of drug prescriptions.

We report on first experiences from linguistic analyses of patient instructions from 19,8404 actual drug prescriptions regarding seven pharmaceutical products frequently prescribed in Sweden. The analysis includes expressions for amount, dose unit, dose interval, mode of administration, purpose and a few further details. Even simple processing seems useful to extract information from these short, rather formal text strings. We estimate the potential for calculation of prescribed dose from this material, and collected material gives a good starting point for more advanced linguistic analyses.

Drug Information Services↗
PubMed1992

[Etymology].

Explore the source record for details and available documents.

Dictionaries, Medical as Topic↗
PubMed2003

A probabilistic model for identifying protein names and their name boundaries.

This paper proposes a method for identifying protein names in biomedical texts with an emphasis on detecting protein name boundaries. We use a probabilistic model which exploits several surface clues characterizing protein names and incorporates word classes for generalization. In contrast to previously proposed methods, our approach does not rely on natural language processing tools such as part-of-speech taggers and syntactic parsers, so as to reduce processing overhead and the potential number of probabilistic parameters to be estimated. A notion of certainty is also proposed to improve precision for identification. We implemented a protein name identification system based on our proposed method, and evaluated the system on real-world biomedical texts in conjunction with the previous work. The results showed that overall our system performs comparably to the state-of-the-art protein name identification system and that higher performance is achieved for compound names. In addition, it is demonstrated that our system can further improve precision by restricting the system output to those names with high certainties.

Artificial Intelligence↗