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Scientific Challenge in eHealth: MAPPATHON, a Metadata Mapping Challenge.
Kock-Schoppenhauer, Ann-Kristin; Bruland, Philipp; Kadioglu, Dennis; Brammen, Dominik; Ulrich, Hannes; Kulbe, Kerstin; Duhm-Harbeck, Petra; Ingenerf, Josef.
Afiliação
  • Kock-Schoppenhauer AK; IT Center for Clinical Research, Lübeck, University of Lübeck, Germany.
  • Bruland P; Institute of Medical Informatics, University of Münster, Germany.
  • Kadioglu D; Medical Informatics Group, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Brammen D; Department of Anesthesiology, University of Magdeburg, Germany.
  • Ulrich H; IT Center for Clinical Research, Lübeck, University of Lübeck, Germany.
  • Kulbe K; Institute of Medical Informatics, University of Lübeck, Germany.
  • Duhm-Harbeck P; IT Center for Clinical Research, Lübeck, University of Lübeck, Germany.
  • Ingenerf J; IT Center for Clinical Research, Lübeck, University of Lübeck, Germany.
Stud Health Technol Inform ; 264: 1516-1517, 2019 Aug 21.
Article em En | MEDLINE | ID: mdl-31438209
Scientific challenges based on benchmark data enable the comparison and evaluation of different algorithms and take place regularly in scientific disciplines like medical image processing, text mining or genetics. The idea of a challenge is rarely applied within the eHealth community. Mappathon is a metadata mapping challenge that asks for methods to find corresponding data elements within similar datasets and to correlate data elements among each other.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telemedicina / Metadados Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telemedicina / Metadados Idioma: En Ano de publicação: 2019 Tipo de documento: Article