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

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor	Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.contributor.author	Sztyler, Timo
dc.contributor.author	Völker, Johanna
dc.contributor.author	Carmona Vargas, Josep
dc.contributor.author	Meier, Oliver
dc.contributor.author	Stuckenschmidt, Heiner
dc.date	2015
dc.identifier.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.
dc.identifier.citation	1613-0073
dc.identifier.uri	http://hdl.handle.net/2117/84017
dc.language.iso	eng
dc.publisher	CEUR-WS.org
dc.relation	http://ceur-ws.org/Vol-1371/
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
dc.subject	Medicine -- Data Processing
dc.subject	Smartphones
dc.subject	Data mining
dc.subject	Telèfons intel·ligents
dc.subject	Mineria de dades
dc.title	Discovery of personal processes from labeled sensor data: An application of process mining to personalized health care
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.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.
dc.description.abstract	Peer Reviewed

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