Discovery of personal processes from labeled sensor data - an application of process mining to personalized health care


Sztyler, Timo ; Völker, Johanna ; Carmona, Josep ; Meier, Oliver ; Stuckenschmidt, Heiner



URL: http://ceur-ws.org/Vol-1371/paper03.pdf
Additional URL: http://publications.wim.uni-mannheim.de/informatik...
Document Type: Conference or workshop publication
Year of publication: 2015
Book title: ATAED 2015 Algorithms & Theories for the Analysis of Event Data : Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data, Satellite event of the conferences: Petri Nets 2015 and ACSD 2015, Brussels, Belgium
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 1371
Page range: 31-46
Date of the conference: June 22–23, 2015
Publisher: Aalst, Wil van der
Place of publication: Aachen
Publishing house: RWTH
ISSN: 1613-0073
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
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 of the paper on recorded data from a set of individuals, and present interesting conclusions and challenges.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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