Matching Medical Websites to Medical Guidelines through Clinical Vocabularies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F14%3A10287914" target="_blank" >RIV/00216208:11110/14:10287914 - 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

Matching Medical Websites to Medical Guidelines through Clinical Vocabularies

Popis výsledku v původním jazyce

We propose and test simple approach exploiting MGL content as a benchmark for the assessment of content quality in medical web sites (WS). It is based on the idea that the information content or at least the scope of a medical text is reflected in the domain terminology used. We consider a possible use of this approach in semiautomatic human-based quality verification and various aspects related to its application. Clinical vocabularies are used to discover medical terminology in both groups of texts (MGL and WS). Both sets of terminology are then compared based on extracted data. The WS content quality is assessed firstly on the bases of the general content match (i.e. based on concepts or topics discovered) and secondly on the bases of the similarityof particular terminology used in MGLs. Partial goal is to propose and evaluate suitable methods of aggregation of terminology in MGLs so that only one single standard for WS quality assessment might be applied in the end. Important goal

Název v anglickém jazyce

Matching Medical Websites to Medical Guidelines through Clinical Vocabularies

Popis výsledku anglicky

We propose and test simple approach exploiting MGL content as a benchmark for the assessment of content quality in medical web sites (WS). It is based on the idea that the information content or at least the scope of a medical text is reflected in the domain terminology used. We consider a possible use of this approach in semiautomatic human-based quality verification and various aspects related to its application. Clinical vocabularies are used to discover medical terminology in both groups of texts (MGL and WS). Both sets of terminology are then compared based on extracted data. The WS content quality is assessed firstly on the bases of the general content match (i.e. based on concepts or topics discovered) and secondly on the bases of the similarityof particular terminology used in MGLs. Partial goal is to propose and evaluate suitable methods of aggregation of terminology in MGLs so that only one single standard for WS quality assessment might be applied in the end. Important goal

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

International Journal on Biomedicine and Healthcare

ISSN

1805-8698

e-ISSN

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Svazek periodika

2

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

2

Strana od-do

23-24

Kód UT WoS článku

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EID výsledku v databázi Scopus

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