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Finding the Needle in the Hay Stack: An Open Architecture to Support Diagnosis of Undiagnosed Patients.
Schaaf, Jannik; Boeker, Martin; Ganslandt, Thomas; Haverkamp, Christian; Hermann, Tim; Kadioglu, Dennis; Prokosch, Hans-Ulrich; Wagner, Thomas O F; von Wagner, Michael; Schaefer, Johanna; Sedlmayr, Martin; Storf, Holger.
Afiliación
  • Schaaf J; Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt, Germany.
  • Boeker M; Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center - University of Freiburg, Freiburg, Germany.
  • Ganslandt T; Department of Biomedical Informatics, University Medicine Mannheim, Ruprecht-Karls-University Heidelberg, Mannheim, Germany.
  • Haverkamp C; IT-Department, University Hospital Freiburg, Freiburg, Germany.
  • Hermann T; Institute for Biometry and Medical Informatics, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.
  • Kadioglu D; Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt, Germany.
  • Prokosch HU; Chair of Medical Informatics, Department of Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
  • Wagner TOF; Frankfurt Reference Center for Rare Diseases, University Hospital Frankfurt, Frankfurt, Germany.
  • von Wagner M; Executive Department of Medical IT-Systems and Digitalization, University Hospital Frankfurt, Frankfurt, Germany.
  • Schaefer J; Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt, Germany.
  • Sedlmayr M; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine Technische Universität Dresden, Dresden, Germany.
  • Storf H; Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt, Germany.
Stud Health Technol Inform ; 264: 1580-1581, 2019 Aug 21.
Article en En | MEDLINE | ID: mdl-31438241
ABSTRACT
Clinical Decision Support Systems (CDSS) are promising to support physicians in finding the right diagnosis of patients with rare diseases (RD). The MIRACUM consortium, which includes ten university hospitals in Germany, will establish a diagnosis support system for RD. This system conducts a similarity analysis on distributed clinical data with the aim to identify similar patient cases at each MIRACUM site to offer the physician a hint to a possible diagnosis.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2019 Tipo del documento: Article País de afiliación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2019 Tipo del documento: Article País de afiliación: Alemania