Self-tracking Reloaded: Applying Process Mining to Personalized Health Care from Labeled Sensor Data

نویسندگان

  • Timo Sztyler
  • Josep Carmona
  • Johanna Völker
  • Heiner Stuckenschmidt
چکیده

Currently, there is a trend to promote personalized health care in order to prevent diseases or to have a healthier life. Using current devices such as smart-phones and smart-watches, an individual can easily record detailed data from her daily life. Yet, this data has been mainly used for self-tracking in order to enable personalized health care. In this paper, we provide ideas on how process mining can be used as a finegrained evolution of traditional self-tracking. We have applied the ideas of the paper on recorded data from a set of individuals, and present conclusions and challenges.

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عنوان ژورنال:
  • T. Petri Nets and Other Models of Concurrency

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2016