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Design and Concept of the SMITH Phenotyping Pipeline.
Meineke, Frank A; Stäubert, Sebastian; Löbe, Matthias; Uciteli, Alexandr; Löffler, Markus.
Afiliação
  • Meineke FA; Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany.
  • Stäubert S; Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany.
  • Löbe M; Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany.
  • Uciteli A; Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany.
  • Löffler M; Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany.
Stud Health Technol Inform ; 267: 164-172, 2019 Sep 03.
Article em En | MEDLINE | ID: mdl-31483269
Phenotyping means the determination of clinical relevant phenotypes, e.g. by classification or calculation based on EHR data. Within the German Medical Informatics Initiative, the SMITH consortium is working on the implementation of a phenotyping pipeline. to extract, structure and normalize information from the EHR data of the hospital information systems of the participating sites; to automatically apply complex algorithms and models and to enrich the data within the research data warehouses of the distributed data integration centers with the computed results. Here we present the overall picture and essential building blocks and workflows of this concept.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Informática Médica / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Informática Médica / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Alemanha