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Information Systems and Neuroscience pp 163–172Cite as

A Domains Oriented Framework of Recent Machine Learning Applications in Mobile Mental Health

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Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 29))

Abstract

This research illustrates how the interdisciplinary integration of mobile health (mHealth) and Machine Learning (ML) can contribute to implementing mobile care for mental health. 94 articles were identified in a literature review to derive functional domains and composing information items improving the comprehension of ML benefits with mHealth integration. Identified items of each domain were pooled into clusters and information flow was quantified according to prevailing occurrence of included articles. We derive a comprehensive domains oriented framework (DF) and visualize an information flow graph. The DF indicates that the utilization of ML is well established (e.g. stress detection, activity recognition). Because deployment and data acquisition currently relies heavily on mobile phones, only 65% of current applications make fully integrated use of data sources to assert patient’s mental state. Big data integration and a lack of commercially available devices to measure physiological or psychological parameters represent current bottlenecks to leverage synergies.

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Author information

Authors and Affiliations

  1. Technical University Berlin, Chair of Information and Communication Management, Berlin, Germany

    Max-Marcel Theilig, Kim Janine Blankenhagel & Rüdiger Zarnekow

Authors
  1. Max-Marcel Theilig
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  2. Kim Janine Blankenhagel
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  3. Rüdiger Zarnekow
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Corresponding author

Correspondence to Max-Marcel Theilig .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Oberösterreich, Austria

    René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, QC, Canada

    Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, GA, USA

    Adriane B. Randolph

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Theilig, MM., Blankenhagel, K.J., Zarnekow, R. (2019). A Domains Oriented Framework of Recent Machine Learning Applications in Mobile Mental Health. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-01087-4_20

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