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Impact of data encoding and thyroids dysfunctions.
Gibert, Karina; Sonicki, Zdenko; Martín, Juan Carlos.
Afiliação
  • Gibert K; Dept. of Statistics and Operation Research, UPC, C. Pau Gargallo, 5, Barcelona. karina@eio.upc.es
Stud Health Technol Inform ; 90: 494-8, 2002.
Article em En | MEDLINE | ID: mdl-15460743
In medical environments it is usual to previously encode some variables following medical criteria. In the context of thyroids dysfunctions, the levels of the hormones T3, T4 or TSH are usually treated as low, normal or high instead of using their numerical form, and this is a very common practice in other items. In medical environments it is also frequent to need a clustering process to analyze data. Clus-tering algorithms use always some distance or similarity coefficient to decide which elements have to be grouped in a cluster. The nature of the data determines which distance/similarity can be used, and can change results. In this paper, the impact of preprocessing numerical levels of hormones into categorical labels for clustering is studied, by means of a real sample of patients from a Hospital in Zagreb (Croatia).
Assuntos
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Base de dados: MEDLINE Assunto principal: Glândula Tireoide / Controle de Formulários e Registros Limite: Female / Humans / Male Idioma: En Ano de publicação: 2002 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Glândula Tireoide / Controle de Formulários e Registros Limite: Female / Humans / Male Idioma: En Ano de publicação: 2002 Tipo de documento: Article