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

Consultar RECERCAT

Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/2117/84017

Título:	Discovery of personal processes from labeled sensor data: An application of process mining to personalized health care
Autor/a:	Sztyler, Timo; Völker, Johanna; Carmona Vargas, Josep; Meier, Oliver; Stuckenschmidt, Heiner
Otros autores:	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
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.
Abstract:	Peer Reviewed
Materia(s):	-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica -Medicine -- Data Processing -Smartphones -Data mining -Telèfons intel·ligents -Mineria de dades
Derechos:
Tipo de documento:	Artículo - Versión presentada Objeto de conferencia
Editor:	CEUR-WS.org
Compartir:

Sztyler, Timo; Carmona Vargas, Josep; Völker, Johanna; Stuckenschmidt, Heiner

Carmona Vargas, Josep; Cortadella, Jordi

Carmona Vargas, Josep; Cortadella, Jordi; Pastor Llorens, Enric

Carmona Vargas, Josep; Cortadella, Jordi

Delicado Alcántara, Luis; Sánchez Ferreres, Josep; Carmona Vargas, Josep; Padró, Lluís

Coordinación

Patrocinio