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Health Assistance for Immigrants

  • Till Plumbaum
  • Funda Klein-Ellinghaus
  • Anna Reeske
  • Kristin Pelz
  • Frank Hopfgartner
Chapter
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Abstract

Our personal health should be one of our main concerns, but unfortunately, due to modern lifestyle, far too many people ignore their own well-being. Consequently, methodologies need to be developed that assist us in living a healthier life. In this chapter, we present a health assistance system for immigrants. The system consists of two parts: A health information system that allows users to search for health information using natural language queries composed of multiple languages and a prevention service that assists users in their cooking routine and motivates them to perform frequent physical exercises. The information system uses NLP techniques to understand the user query, matches it to a health ontology we developed, and offers the user a comprehensive answer. The prevention service is embedded in a smart home environment. We present the technical details of both systems and show a user study to demonstrate that the system works well in providing highly relevant health information.

Keywords

Prevention Service Search Query Health Information System Unify Medical Language System Ontology Concept 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was funded by the Federal Ministry of Education and Research (BMBF) under funding reference number 01IS10055A-C.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Till Plumbaum
    • 1
  • Funda Klein-Ellinghaus
    • 2
  • Anna Reeske
    • 2
  • Kristin Pelz
    • 3
  • Frank Hopfgartner
    • 1
  1. 1.Technische Universität BerlinBerlinGermany
  2. 2.Leibniz Institute for Prevention Research and EpidemiologyBremenGermany
  3. 3.AOK BundesverbandBerlinGermany

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