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Scientific Challenge in eHealth: MAPPATHON- A Metadata Mapping Challenge

Ann Kristin Kock-Schoppenhauer, Philipp Bruland, Dennis Kadioglu, Dominik Brammen, Hannes Ulrich, Kerstin Kulbe, Petra Duhm-Harbeck, Josef Ingenerf

Abstract

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.

Original languageGerman
Title of host publicationStudies in Health Technology and Informatics
Publication date21.08.2019
Publication statusPublished - 21.08.2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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