Classification of Primary Medical Records with RUBRYX-2: First Experience

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F12%3A00063613" target="_blank" >RIV/00216224:14110/12:00063613 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Classification of Primary Medical Records with RUBRYX-2: First Experience

Popis výsledku v původním jazyce

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 ina 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.

Název v anglickém jazyce

Classification of Primary Medical Records with RUBRYX-2: First Experience

Popis výsledku anglicky

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 ina 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.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Artificial Intelligence Methods and Techniques for Business and Engineering Aplications.

ISBN

9789541600580

Počet stran výsledku

15

Strana od-do

56-70

Počet stran knihy

345

Název nakladatele

ITHEA

Místo vydání

Rzesow, Sofia

Kód UT WoS kapitoly

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