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Description
  • RUBRYX is a document classifier developed in 2000s for processing large volumes of Web information. RUBRYX uses weighted sum of n-grams (n=1,2,3) extracted from a very limited number of samples (about 5-10) and takes into account their mutual position in a given text. This sophisticated algorithm proves to be very effective in classifying primary medical records presented in a free text form. In the paper we study possibilities of RUBRYX (version 2.2) on a limited document set in Spanish. These documents are medical histories related to stomach diseases. Such area should be considered as a narrow subset of medical records. The high quality of archived results (accuracy 80%-90%) allows us to recommend RUBRYX for similar applications.
  • RUBRYX is a document classifier developed in 2000s for processing large volumes of Web information. RUBRYX uses weighted sum of n-grams (n=1,2,3) extracted from a very limited number of samples (about 5-10) and takes into account their mutual position in a given text. This sophisticated algorithm proves to be very effective in classifying primary medical records presented in a free text form. In the paper we study possibilities of RUBRYX (version 2.2) on a limited document set in Spanish. These documents are medical histories related to stomach diseases. Such area should be considered as a narrow subset of medical records. The high quality of archived results (accuracy 80%-90%) allows us to recommend RUBRYX for similar applications. (en)
Title
  • Classification of Primary Medical Records with RUBRYX-2: First Experience
  • Classification of Primary Medical Records with RUBRYX-2: First Experience (en)
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  • Classification of Primary Medical Records with RUBRYX-2: First Experience
  • Classification of Primary Medical Records with RUBRYX-2: First Experience (en)
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  • RIV/00216224:14110/12:00063613!RIV13-MSM-14110___
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  • 127375
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  • RIV/00216224:14110/12:00063613
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  • natural language processing medical diagnostics document classification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FBD44D43DDC5]
http://linked.open...i/riv/mistoVydani
  • Rzesow, Sofia
http://linked.open...vEdiceCisloSvazku
  • ITHEA IBS ISC No.:26
http://linked.open...i/riv/nazevZdroje
  • Artificial Intelligence Methods and Techniques for Business and Engineering Aplications.
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  • Alexandrov, Mikhail
  • Bourek, Aleš
  • Kraurova, Olga
number of pages
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  • ITHEA
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  • 9789541600580
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  • 14110
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