@inproceedings{eb73bc41620b43128d1834946b710a09,
title = "Finding the needle in the hay stack: An open architecture to support diagnosis of undiagnosed patients",
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.",
keywords = "Clinical Decision Support, Data Science, Rare Diseases",
author = "Jannik Schaaf and Martin Boeker and Thomas Ganslandt and Christian Haverkamp and Tim Hermann and Dennis Kadioglu and Prokosch, {Hans Ulrich} and Wagner, {Thomas O.F.} and {Von Wagner}, Michael and Johanna Schaefer and Martin Sedlmayr and Holger Storf",
note = "Publisher Copyright: {\textcopyright} 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).; 17th World Congress on Medical and Health Informatics, MEDINFO 2019 ; Conference date: 25-08-2019 Through 30-08-2019",
year = "2019",
month = aug,
day = "21",
doi = "10.3233/SHTI190544",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1580--1581",
editor = "Brigitte Seroussi and Lucila Ohno-Machado and Lucila Ohno-Machado and Brigitte Seroussi",
booktitle = "MEDINFO 2019",
}