AMIA Annu Symp Proc - Analysis of online information searching for cardiovascular diseases on a consumer health information portal.

Tópicos

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{ patient(2837) hospit(1953) medic(668) }
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{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
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{ sampl(1606) size(1419) use(1276) }
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{ high(1669) rate(1365) level(1280) }
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{ use(1733) differ(960) four(931) }
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Resumo

Since the early 2000's, Internet usage for health information searching has increased significantly. Studying search queries can help us to understand users "information need" and how do they formulate search queries ("expression of information need"). Although cardiovascular diseases (CVD) affect a large percentage of the population, few studies have investigated how and what users search for CVD. We address this knowledge gap in the community by analyzing a large corpus of 10 million CVD related search queries from MayoClinic.com. Using UMLS MetaMap and UMLS semantic types/concepts, we developed a rule-based approach to categorize the queries into 14 health categories. We analyzed structural properties, types (keyword-based/Wh-questions/Yes-No questions) and linguistic structure of the queries. Our results show that the most searched health categories are 'Diseases/Conditions', 'Vital-Sings', 'Symptoms' and 'Living-with'. CVD queries are longer and are predominantly keyword-based. This study extends our knowledge about online health information searching and provides useful insights for Web search engines and health websites.

Resumo Limpo

sinc earli s internet usag health inform search increas signific studi search queri can help us understand user inform need formul search queri express inform need although cardiovascular diseas cvd affect larg percentag popul studi investig user search cvd address knowledg gap communiti analyz larg corpus million cvd relat search queri mayocliniccom use uml metamap uml semant typesconcept develop rulebas approach categor queri health categori analyz structur properti type keywordbasedwhquestionsyesno question linguist structur queri result show search health categori diseasescondit vitals symptom livingwith cvd queri longer predomin keywordbas studi extend knowledg onlin health inform search provid use insight web search engin health websit

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