Probabilistic Approaches to Overcome Content Heterogeneity in Data Integration: A Study Case in Systematic Lupus Erythematosus.

Sampri, Alexia; Geifman, Nophar; Le Sueur, Helen; Doherty, Patrick; Couch, Philip; Bruce, Ian; Peek, Niels

Sampri, Alexia; Geifman, Nophar; Le Sueur, Helen; Doherty, Patrick; Couch, Philip; Bruce, Ian; Peek, Niels.

Afiliação

Sampri A; Division of Informatics, Imaging and Data Sciences University of Manchester, Manchester, UK.
Geifman N; Division of Informatics, Imaging and Data Sciences University of Manchester, Manchester, UK.
Le Sueur H; Division of Informatics, Imaging and Data Sciences University of Manchester, Manchester, UK.
Doherty P; Division of Musculoskeletal & Dermatological Sciences, University of Manchester, Manchester, UK.
Couch P; Division of Informatics, Imaging and Data Sciences University of Manchester, Manchester, UK.
Bruce I; Division of Musculoskeletal & Dermatological Sciences, University of Manchester, Manchester, UK.
Peek N; NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.

Stud Health Technol Inform ; 270: 387-391, 2020 Jun 16.

Article em En | MEDLINE | ID: mdl-32570412

Assuntos

Lúpus Eritematoso Sistêmico; Humanos

Palavras-chave

Probabilistic data integration; biomedical data harmonisation; content heterogeneity; missing data

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lúpus Eritematoso Sistêmico Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Holanda

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