Predicting Adherence to Behavior Change Support Systems Using Machine Learning: Systematic Review.

Journal: JMIR AI
Published Date:

Abstract

BACKGROUND: There is a dearth of knowledge on reliable adherence prediction measures in behavior change support systems (BCSSs). Existing reviews have predominately focused on self-reporting measures of adherence. These measures are susceptible to overestimation or underestimation of adherence behavior.

Authors

  • Akon Obu Ekpezu
    Oulu Advanced Research on Service and Information Systems, Department of Information Processing Science, University of Oulu, Oulu, Finland.
  • Isaac Wiafe
    Department of Computer Science, University of Ghana, Accra, Ghana.
  • Harri Oinas-Kukkonen
    Oulu Advanced Research on Service and Information Systems, Department of Information Processing Science, University of Oulu, Oulu, Finland.

Keywords

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