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Discovery of personal processes from labeled sensor data: An application of process mining to personalized health care

Author
Sztyler, T.; Völker, J.; Carmona, J.; Meier, O.; Stuckenschmidt, H.
Type of activity
Presentation of work at congresses
Name of edition
International Workshop on Algorithms & Theories for the Analysis of Event Data 2015
Date of publication
2015
Presentation's date
2015-06-22
Book of congress proceedings
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015
First page
31
Last page
46
Publisher
CEUR-WS.org
Repository
http://hdl.handle.net/2117/84017 Open in new window
URL
http://ceur-ws.org/Vol-1371/ Open in new window
Abstract
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 fine-grained evolution of traditional self-tracking. We have applied the ideas ...
Citation
Sztyler, T., Völker, J., Carmona, J., Meier, O., Stuckenschmidt, H. Discovery of personal processes from labeled sensor data: An application of process mining to personalized health care. A: International Workshop on Algorithms & Theories for the Analysis of Event Data. "Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015". Bruselas: CEUR-WS.org, 2015, p. 31-46.
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods

Participants

  • Sztyler, Timo  (author and speaker )
  • Völker, Johanna  (author and speaker )
  • Carmona Vargas, Jose  (author and speaker )
  • Meier, Oliver  (author and speaker )
  • Stuckenschmidt, Heiner  (author and speaker )

Attachments