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Environmental Assessment Based on Health Information Using Artificial Intelligence

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Advances in Artificial Intelligence, Computation, and Data Science

Part of the book series: Computational Biology ((COBO,volume 31))

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Abstract

A holistic care system which enables extensive medical care even outside the hospital brings significant benefits for health care. The application of novel communication and computation technologies is essential in order to accomplish such a system. In the presented chapter, a conceptual system is described which links environmental parameters measured by building automation and control systems with data from electronic health records. The system’s purpose is to provide medical personnel with interpreted data about possible adverse health effects of the indoor environment with respect to the patient’s health condition. Additionally, the patient receives real-time feedback about the environmental parameters and their potential health effects. The purpose of this feedback is to inspire behavior changes in the patient, which results in a more health-friendly environment. A special focus of the chapter lies on the analysis of possibly applicable artificial intelligence approaches for the estimation of the individual environmental risk factor. These are necessary because the system combines knowledge about the adverse health effect of environmental parameters and knowledge about health parameters for the environmental assessment. This knowledge is often incomplete, ambiguous, and is linked to uncertainty, which makes the interpretation of the raw data non-trivial and would overstrain the occupant as well as the medical personnel.

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Acknowledgements

Funded by the Lower Saxony Ministry of Science and Culture within the Lower Saxony “Vorab” of the Volkswagen Foundation and supported by the Center for Digital Innovations (ZDIN).

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Authors and Affiliations

  1. Jade University of Applied Sciences Wilhelmshaven/Oldenburg/Elsfleth, Ofenerstr. 16/19, Oldenburg, Germany

    Jannik Fleßner, Johannes Hurka & Melina Frenken

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  1. Jannik Fleßner
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  2. Johannes Hurka
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  3. Melina Frenken
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Correspondence to Jannik Fleßner .

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Editors and Affiliations

  1. Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia

    Tuan D. Pham

  2. Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong

    Hong Yan

  3. College of Sciences and Human Studies, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia

    Muhammad W. Ashraf

  4. Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden

    Folke Sjöberg

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Fleßner, J., Hurka, J., Frenken, M. (2021). Environmental Assessment Based on Health Information Using Artificial Intelligence. In: Pham, T.D., Yan, H., Ashraf, M.W., Sjöberg, F. (eds) Advances in Artificial Intelligence, Computation, and Data Science. Computational Biology, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-030-69951-2_15

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  • DOI: https://doi.org/10.1007/978-3-030-69951-2_15

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