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

0381455 - ÚI 2013 RIV GB eng J - Journal Article
Přečková, Petra - Zvárová, Jana - Zvára, Karel
Measuring diversity in medical reports based on categorized attributes and international classification systems.
BMC Medical Informatics and Decision Making. Roč. 12, 12 April (2012), Art. No. 31. E-ISSN 1472-6947
R&D Projects: GA MŠMT(CZ) 1M06014
Institutional research plan: CEZ:AV0Z10300504
Keywords : SNOMED CT * information * dependency * records * terms
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 1.603, year: 2012
http://www.biomedcentral.com/1472-6947/12/31

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.
Permanent Link: http://hdl.handle.net/11104/0211919