Measuring diversity in medical reports based on categorized attributes and international classification systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00381455" target="_blank" >RIV/67985807:_____/12:00381455 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.biomedcentral.com/1472-6947/12/31" target="_blank" >http://www.biomedcentral.com/1472-6947/12/31</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/1472-6947-12-31" target="_blank" >10.1186/1472-6947-12-31</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Measuring diversity in medical reports based on categorized attributes and international classification systems

Popis výsledku v původním jazyce

A new method based on a general concept of f-diversity is proposed for measuring diversity of medical reports in any language. The method is based on categorized attributes recorded in narrative or structured medical reports and on international classification systems. Values of categories are expressed by terms. Using SNOMED CT and ICD 10 we are mapping attributes and terms to predefined codes. We compared diversities of 110 Czech narrative medical reports and 1119 Czech structured medical reports. Selected categorized attributes of MDMC had mostly different numbers of categories and used different terms in narrative and structured reports. We found more than 60% of MDMC attributes in SNOMED CT. We showed that attributes in narrative medical reports had greater diversity than the same attributes in structured medical reports.

Název v anglickém jazyce

Measuring diversity in medical reports based on categorized attributes and international classification systems

Popis výsledku anglicky

A new method based on a general concept of f-diversity is proposed for measuring diversity of medical reports in any language. The method is based on categorized attributes recorded in narrative or structured medical reports and on international classification systems. Values of categories are expressed by terms. Using SNOMED CT and ICD 10 we are mapping attributes and terms to predefined codes. We compared diversities of 110 Czech narrative medical reports and 1119 Czech structured medical reports. Selected categorized attributes of MDMC had mostly different numbers of categories and used different terms in narrative and structured reports. We found more than 60% of MDMC attributes in SNOMED CT. We showed that attributes in narrative medical reports had greater diversity than the same attributes in structured medical reports.

Druh

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

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/1M06014" target="_blank" >1M06014: Centrum biomedicínské informatiky (CBI)</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

BMC Medical Informatics and Decision Making

ISSN

1472-6947

e-ISSN

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Svazek periodika

12

Číslo periodika v rámci svazku

12 April

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

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Kód UT WoS článku

000303614600001

EID výsledku v databázi Scopus

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