J Biomed Inform - Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED.

Tópicos

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{ visual(1396) interact(850) tool(830) }
{ take(945) account(800) differ(722) }
{ health(1844) social(1437) communiti(874) }
{ framework(1458) process(801) describ(734) }
{ general(901) number(790) one(736) }
{ group(2977) signific(1463) compar(1072) }
{ process(1125) use(805) approach(778) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ import(1318) role(1303) understand(862) }
{ decis(3086) make(1611) patient(1517) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ motion(1329) object(1292) video(1091) }
{ model(2220) cell(1177) simul(1124) }
{ studi(1410) differ(1259) use(1210) }
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{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ state(1844) use(1261) util(961) }
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{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
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{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

An algorithmically-derived abstraction network, called the partial-area taxonomy, for a SNOMED hierarchy has led to the identification of concepts considered complex. The designation "complex" is arrived at automatically on the basis of structural analyses of overlap among the constituent concept groups of the partial-area taxonomy. Such complex concepts, called overlapping concepts, constitute a tangled portion of a hierarchy and can be obstacles to users trying to gain an understanding of the hierarchy's content. A new methodology for partitioning the entire collection of overlapping concepts into singly-rooted groups, that are more manageable to work with and comprehend, is presented. Different kinds of overlapping concepts with varying degrees of complexity are identified. This leads to an abstract model of the overlapping concepts called the disjoint partial-area taxonomy, which serves as a vehicle for enhanced, high-level display. The methodology is demonstrated with an application to SNOMED's Specimen hierarchy. Overall, the resulting disjoint partial-area taxonomy offers a refined view of the hierarchy's structural organization and conceptual content that can aid users, such as maintenance personnel, working with SNOMED. The utility of the disjoint partial-area taxonomy as the basis for a SNOMED auditing regimen is presented in a companion paper.

Resumo Limpo

algorithmicallyderiv abstract network call partialarea taxonomi snome hierarchi led identif concept consid complex design complex arriv automat basi structur analys overlap among constitu concept group partialarea taxonomi complex concept call overlap concept constitut tangl portion hierarchi can obstacl user tri gain understand hierarchi content new methodolog partit entir collect overlap concept singlyroot group manag work comprehend present differ kind overlap concept vari degre complex identifi lead abstract model overlap concept call disjoint partialarea taxonomi serv vehicl enhanc highlevel display methodolog demonstr applic snome specimen hierarchi overal result disjoint partialarea taxonomi offer refin view hierarchi structur organ conceptu content can aid user mainten personnel work snome util disjoint partialarea taxonomi basi snome audit regimen present companion paper

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